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AMIA 2021: San Diego, CA, USA
- AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021 - November 3, 2021. AMIA 2021
Panel
- Julia Adler-Milstein, Andrew Olson, Charlene R. Weir, Benjamin I. Rosner, Robert E. El-Kareh:
Adapting EHRs to Support Ongoing Provider Diagnostic Calibration. - Brian S. Alper, Harold P. Lehmann, Joanne Dehnbostel, Andrey Soares, Vignesh Subbian:
Fighting COVID-19 with FHIR: Latest Developments from the COVID-19 Knowledge Accelerator (COKA). - Steve Bernstein, Jerome A. Osheroff, Julia Skapik, Christopher J. Tignanelli, Matthew Burton:
Using Specific COVID-19 Targets and Patient Care Settings as a Springboard for Driving Global Improvements in the Learning Health System Cycle for COVID-19 and Beyond. - Tiffani J. Bright, Chinyere Agunwa, Kim M. Unertl, Oliver J. Bear Don't Walk IV, Yalini Senathirajah:
Representation Requires Intentionality: Our Journey to Creating a Diverse Informatics Workforce. - Atul J. Butte, Christopher A. Longhurst, Amy Abernethy, Gretchen P. Jackson, Philip R. O. Payne:
Use of Healthcare Information Technology and Data Platforms to Inform Pandemic Response: Perspectives at the Intersection of Academic Healthcare Provider Organizations and Industry Partners. - Kevin Chaney, Kenneth D. Mandl, Kristen E. Miller:
LEAP 2020: Cutting Edge Health Information Technology Tools for Research. - Guilherme Del Fiol, Chelsey R. Schlechter, Bryan Smith Gibson, Thomas J. Reese, David W. Wetter:
Addressing the Digital Divide to Promote Health Equity. - Rishi J. Desai, Sebastian Schneeweiss, Keith Marsolo, Shirley V. Wang, Robert Ball:
Reliable insights regarding medication outcomes from real world data- key principles of an evidence generation framework. - Guy Divita, Maryanne Sacco, Janna Hastings, Piper Ranallo:
Mental Functioning Ontologies. - Hossein Estiri, Yuan Luo, Hongfang Liu, Suzanne Tamang, Harold P. Lehmann:
Addressing Bias in the Application of Machine Learning on Real-World Data. - Chun-Ju Hsiao, Deborah J. Cohen, Ida Sim, Leslie A. Lenert, Danielle C. Lavallee:
Transforming Healthcare through Patient-Generated Health Data Integration. - Charles Jaffe, Steven Z. Kassakian, Viet Nguyen, Anna Taylor:
Proven Methodologies for Accelerating Adoption of HL7® FHIR®. - Xiaoqian Jiang, Luca Bonomi, Jaideep Vaidya, Li Xiong, Lucila Ohno-Machado:
Privacy-Preserving Federated Biomedical Data Analysis. - Abel N. Kho, Shaun J. Grannis, Adam Culbertson, Molly Murray, Yu Deng:
Evolving Challenges in Patient Matching. - Steven E. Labkoff, Leon Rozenblit, Helen Burstein, Rachel L. Richesson:
The COVID-19 Pandemic as Catalyst: The Acceleration of Registry Science in the 21st Century to Address Novel Challenges. - Yuan Luo, Fei Wang, Benjamin S. Glicksberg, Jessilyn Dunn, Nigam Shah:
Multi-Modal Data Science for Healthcare: State of the Art, Challenges, and Opportunities. - Yuan Luo, Fei Wang, Marinka Zitnik, Shuiwang Ji:
Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities. - Laura Haak Marcial, Saira N. Haque, Kensaku Kawamoto, David A. Dorr, Roland E. Gamache:
Stewardship Considerations in the Development and Implementation of Shareable SMART on FHIR Applications: Case Studies on Multiple Chronic Condition Care Planning and Chronic Pain Management. - Patrick C. Mathias, Noah G. Hoffman, Brian R. Jackson, Amrom Obstfeld, S. W. Long:
Lessons learned the hard way from COVID-19: what gaps in laboratory informatics do we need to close before the next pandemic? - Clement J. McDonald, Patricia Flatley Brennan, Michael F. Chiang, Joshua Denny, Zhiyong Lu:
Informatics-izing the National Institutes of Health. - Mollie M. McKillop, Anne Moen, Rosemary Kennedy, Andrew B. L. Berry, Rupa Valdez:
Biomedical Informatics Co-design: Concepts, Applications, and Opportunities. - Lisa B. Mirel, Stephanie Garcia, Stefan Jaeger, Patricia Keenan, Susan Lumsden:
Balancing Access to Federal Data Sets with Enhancing Privacy and Security. - Shawn N. Murphy, Hossein Estiri, Arianna Dagliati, Riccardo Bellazzi, John H. Holmes:
Temporal Phenotypic Pathways of Post-Acute Sequelae of SARS-CoV-2 by an International Consortium for Clinical Characterization of COVID-19 (4CE). - Laurie L. Novak, Carla Perissinotto, George Demiris:
The Role of Informatics in Addressing Social Isolation and Loneliness: Implementing Recommendations from the 2020 National Academies Report with Lessons from the COVID-19 Pandemic. - Jerome A. Osheroff, Brian S. Alper, Christopher J. Tignanelli, Julia L. Skapik:
Stakeholder-driven "Art of the Possible" Patient Journeys for COVID-19 and Beyond; Current and Future Steps to Fully Realize this Vision. - Larry Ozeran, Jon D. Patrick, Yalini Senathirajah, William J. Foster, Richard Schreiber:
Reverse clinician burnout trends by exploring clues from global policy variances. - Mustafa Ozkaynak, Karen Dunn Lopez, Adam Wright, Andrew D. Boyd, Blackford Middleton:
Adaptable Patient facing and Clinical Decision Support Systems: The Next Frontier. - Meghan Reading Turchioe, Sabrina Mangal, Marianne Sharko, Natalie C. Benda, Ruth Masterson Creber:
To share or not to share: Exploring the ethical implications of sharing personal health data with patients and informal caregivers. - Joshua E. Richardson, Cheng-Kai Kao, Laura H. Marcial, Bryn Rhodes, Asli Weitkamp:
Perspectives on Developing and Implementing Shareable, Interoperable Clinical Decision Support for Chronic Pain: The CDS4CPM Project. - Jorge Alberto Rodriguez, Amy Sheon, Sarah C. Nosal, Courtney R. Lyles, Jessica S. Ancker:
Practical Approaches to Telehealth Equity. - Michal Rosen-Zvi, Anil Jain, Eileen Koski:
How the COVID-19 Pandemic Accelerated AI Technology Development and Adoption in Healthcare: Lessons Learned. - Donald W. Rucker, Jaime Bland, Lisa Bari, Dan Chavez, David Horrocks:
Health Information Exchanges and Public Health Data: Lessons from COVID. - Matthew Sakumoto, Tiffany I. Leung, Ryan Jelinek, Stephen J. Morgan, Deepti Pandita:
Primary Care Informatics Working Group (PCIWG) Panel: Demonstrating the Value of a Complex System Problem Solver. - Anita Samarth, Kevin Chaney, Scott Gordon, Vera Mucaj, Andrew Kress:
Accelerating the Use of Standardized APIs to Support Real-World Data and Real-World Evidence for Health Care and Research. - Anita Samarth, Amit Trivedi, Steven R. Lane, Vaishali Patel:
Advancing Interoperability: Analysis of EHR Interoperability Measurement Capabilities. - Suchi Saria, Marzyeh Ghassemi, Ziad Obermeyer, Karandeep Singh, Pei-Yun S. Hsueh, Eric J. Topol:
Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery. - Urmimala Sarkar, Ashwin Patel, Everett Crosland, David W. Bates, Courtney R. Lyles:
Re-imagining Academic-Private Sector Collaboration to Enhance Digital Health Equity. - Marianne Sharko, Natalie C. Benda, Tiffany C. Veinot, Cynthia Sieck, Jessica S. Ancker:
Broadband Internet Access as a Social Determinant of Health With Impacts on Health Disparities During COVID-19. - Jane L. Snowdon, Patricia F. Brennan, Judy Murphy, Marion J. Ball, Yull E. Arriaga:
Informatics Career Journeys Among Academic, Government and Industrial Roles. - Paulina S. Sockolow, Kathryn H. Bowles, Maxim Topaz, Edgar Chou:
Home Healthcare to Primary Care Data Interoperability Challenges and Opportunities. - Bryan D. Steitz, Emily Alsentzer, Hoo Chang Shin, Byron C. Wallace, Adam Wright:
Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing. - Donghua Tao, Duo (Helen) Wei, Rubina F. Rizvi, Deepti Pandita, Bushra Alghamdi, Polina V. Kukhareva, Margarita Sordo, William R. Hersh, Omolola Ogunyemi, Kelly Evans, Gretchen P. Jackson:
Career Development Issues for Women in Biomedical Informatics within Professional Organizations. - Jessica D. Tenenbaum, Theresa Cullen, Indra Neil Sarkar, Philip R. O. Payne, Brian E. Dixon:
Public Health Informatics in a Global Pandemic: In the COVID response trenches. - Victoria L. Tiase, Robin Austin, Christie L. Martin, Young Ji Lee:
Leveraging PGHD in Clinical Workflows: Opportunities and Challenges for Use in Patient Care. - David K. Vawdrey, Dave DeCaprio, Carol J. McCall, Yaron Kinar, Aneesh Chopra:
Lessons in Health Equity from the CMS AI Health Outcomes Challenge. - Amy Y. Wang, Jodi Kodish-Wachs, Deepti Pandita, Thomas Agresta, Catherine H. Ivory:
Opportunities and Challenges in Health and Clinical Informatics Careers and the Future of the Profession. - Adam B. Wilcox, Randi E. Foraker, Jason A. Thomas, Jon D. Morrow, Noa Zamstein:
Demonstrations in Synthetic Data and the National COVID Cohort Collaborative (N3C). - Karmen S. Williams, Mindy K. Ross, Adela Grando, Tiffany Harman, Rachael Howe, Kelly Evans, Wendy M. Ingram, Davina J. Zamanzadeh, Leyla B. Warsame, Zubin Khan, Anita C. Murcko, Omolola Ogunyemi:
The Women in AMIA-led Podcast: Rebranding and Social Media Optimization to Focus on Diversity. - Teresa Zayas-Cabán, Tracy H. Okubo, Marc Overhage, Walter Suarez, Grace Cordovano:
Opportunities to Advance Workflow Automation Through Modern Computing. - Teresa Zayas-Cabán, Belinda Seto, Paul A. Harris, Allison P. Heath, Viet Nguyen:
Advancing the Use of FHIR in Research: An Update on NIH's Efforts.
Paper
- Rashmie Abeysinghe, Fengbo Zheng, Licong Cui:
A Comparison of Exhaustive and Non-lattice-based Methods for Auditing Hierarchical Relations in Gene Ontology. - Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Lei Shi:
Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic. - Muhammad Amith, Marcelline R. Harris, Cooper Stansbury, Kathleen Ford, Frank J. Manion, Cui Tao:
Expressing and Executing Informed Consent Permissions using SWRL: The All of Us Use Case. - Erin Beneteau, Ann Paradiso, Wanda Pratt:
Children's Designs for the Future of Telehealth. - Oliver E. Bent, Charles Wachira, Sekou L. Remy, William Ogallo, Aisha Walcott:
A Framework for Inferring Epidemiological Model Parameters using Bayesian Nonparametrics. - Karen Bonilla, Brian Gaitan, Jamie Sanders, Noami Khenglawt, Aqueasha Martin-Hammond:
Comparing Older and Younger Adults Perceptions of Voice and Text-based Search for Consumer Health Information Tasks. - Florian Borchert, Laura Meister, Thomas Langer, Markus Follmann, Bert Arnrich, Matthieu-P. Schapranow:
Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence. - Marissa Borgese, Cara Joyce, Emily E. Anderson, Matthew M. Churpek, Majid Afshar:
Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use. - Alyssa L. Bosold, Shih-Yin Lin, Jean O. Taylor, George Demiris, Anne M. Turner:
Older adults' personal health information management: The role and perspective of various healthcare providers. - Sebastian Caldas, Jieshi Chen, Artur Dubrawski:
Using Machine Learning to Support Transfer of Best Practices in Healthcare. - Reggie Casanova-Perez, Calvin R. Apodaca, Emily Bascom, Deepthi Mohanraj, Cezanne Lane, Drishti Vidyarthi, Erin Beneteau, Janice Sabin, Wanda Pratt, Nadir Weibel, Andrea L. Hartzler:
Broken down by bias: Healthcare biases experienced by BIPOC and LGBTQ+ patients. - Cheng Cheng, Helen Zhou, Jeremy C. Weiss, Zachary C. Lipton:
Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data. - Edgar Chou, Paulina S. Sockolow:
Transitions of Care: Completeness of the Interoperability Data Standard for Communication from Home Health Care to Primary Care. - Colin W. Christie, Sherrie Xie, Avantika R. Diwadkar, Rebecca Greenblatt, Alexandra A. Rizaldi, Blanca E. Himes:
Consolidated Environmental and Social Data Facilitates Neighborhood-Level Health Studies in Philadelphia. - James J. Cimino:
Racial Disparity in Clinical Alert Overrides. - Celia Cintas, Victor Akinwande, Ramya Raghavendra, Girmaw Abebe Tadesse, Aisha Walcott, Charity Wayua, Fredrick Makumbi, Rhoda Wanyenze, Komminist Weldemariam:
Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies. - Raluca Cobzaru, Sharon Jiang, Kenney Ng, Stan Finkelstein, Roy Welsch, Zachary Shahn:
State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study. - Mike Conway, Patrick R. Alba, Shu-Hong Zhu, Olga V. Patterson:
Vaping at the VA: Developing an Annotated Corpus of Electronic Cigarette Mentions in Clinical Notes at the Department of Veterans Affairs. - Mica R. Curtin-Bowen, Troy Li, Avery Pullman, Alexandra C. Businger, Stuart R. Lipsitz, Ania Syrowatka, Michael Sainlaire, Tien Thai, Jay R. Lieberman, Aileen Davis, Bonnie Blanchfield, David W. Bates, Patricia C. Dykes:
Testing of a Risk-Standardized Complication Rate Electronic Clinical Quality Measure (eCQM) for Total Hip and/or Total Knee Arthroplasty. - Spiros C. Denaxas, Ge Liu, QiPing Feng, Ghazaleh Fatemifar, Lisa Bastarache, Vern Eric Kerchberger, Aroon D. Hingorani, R. Tom Lumbers, Josh F. Peterson, Wei-Qi Wei, Harry Hemingway:
Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation. - Paul R. Dexter, Titus K. Schleyer:
Golden opportunities for clinical decision support in an era of team-based medical care. - Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow:
Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. - Franck Diaz-Garelli, Andrew M. Long, Michael P. Bancks, Alain G. Bertoni, Adhithya Narayanan, Brian Wells:
Developing a Data Quality Standard Primer for Cardiovascular Risk Assessment from Electronic Health Record Data Using the DataGauge Process. - Lisa G. Dirks, Wanda Pratt:
Technology to Support Collaborative Dissemination of Research with Alaska Native Communities. - Patricia C. Dykes, Mica R. Curtin-Bowen, Troy Li, Avery Pullman, Alexandra C. Businger, Stuart R. Lipsitz, Ania Syrowatka, Michael Sainlaire, Tien Thai, David W. Bates:
Development of four electronic clinical quality measures (eCQMs) for use in the Merit-based Incentive Payment System (MIPS) following elective primary total hip and knee arthroplasty. - Aaron S. Eisman, Katherine A. Brown, Elizabeth S. Chen, Indra Neil Sarkar:
Clinical Note Section Detection Using a Hidden Markov Model of Unified Medical Language System Semantic Types. - Jonathan P. Epperlein, Mykhaylo Zayats, Seshu Tirupathi, Sergiy Zhuk, Tigran T. Tchrakian, Pol Mac Aonghusa, Donal F. O'Shea, Niall P. Hardy, Jeffrey Dalli, Ronan A. Cahill:
Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology. - Hannah Eyre, Alec B. Chapman, Kelly S. Peterson, Jianlin Shi, Patrick R. Alba, Makoto M. Jones, Tamara L. Box, Scott L. DuVall, Olga V. Patterson:
Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python. - Alice Feng:
A Machine Learning Pipeline for Accurate COVID-19 Health Outcome Prediction using Longitudinal Electronic Health Records. - Sarah T. Florig, Sky M. Corby, Nicholas T. Rosson, Tanuj Devara, Nicole Gray Weiskopf, Jeffrey Allen Gold, Vishnu Mohan:
Chart Completion Time of Attending Physicians While Using Medical Scribes. - Sydney L. Foote, Sara E. Jones, Jane Lockmuller, Liliana Brown, Joseph Breen, Anupama E. Gururaj:
Parsing Immune Correlates of Protection Against SARS-CoV-2 from Biomedical Literature. - Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather M. Bush, Amy Lynn Meadows, Lars E. Peterson, Steve K. Roggenkamp, Ramakanth Kavuluru, Jin Chen:
Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer. - Debasis Ganguly, Martin Gleize, Yufang Hou, Charles Jochim, Francesca Bonin, Alessandra Pascale, Pierpaolo Tommasi, Pol Mac Aonghusa, Robert West, Marie Johnston, Mike Kelly, Susan Michie:
Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding. - Hamid Ghaderi, Jeffrey Stowell, Murtaza Akhter, Craig Norquist, Paul E. Pugsley, Vignesh Subbian:
Impact of COVID-19 Pandemic on Emergency Department Visits: A Regional Case Study of Informatics Challenges and Opportunities. - Gregory C. Ghahramani, Matthew Brendel, Mingquan Lin, Qingyu Chen, Tiarnan D. Keenan, Kun Chen, Emily Y. Chew, Zhiyong Lu, Yifan Peng, Fei Wang:
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. - Mohamed F. Ghalwash, Eileen Koski, Riitta Veijola, Jorma Toppari, William Hagopian, Marian Rewers, Vibha Anand:
Simulating Screening for Risk of Childhood Diabetes: The Collaborative Open Outcomes tooL (COOL). - Ivan Girardi, Panagiotis Vagenas, Dario Arcos-Díaz, Lydia Bessaï, Alexander Büsser, Ludovico Furlan, Raffaello Furlan, Mauro Gatti, Andrea Giovannini, Ellen Hoeven, Chiara Marchiori:
On the explainability of hospitalization prediction on a large COVID-19 patient dataset. - Mononito Goswami, Benedikt Boecking, Artur Dubrawski:
Weak Supervision for Affordable Modeling of Electrocardiogram Data. - Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng:
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. - Humayera Islam, Abu Saleh Mohammad Mosa:
A Federated Mining Approach on Predicting Diabetes-Related Complications: Demonstration Using Real-World Clinical Data. - Mitchell Izower, Zoe Liao, Jeongeun Kim, Yuri Quintana:
A Proposed Patient-Inclusive Methodology for Developing and Validating Telehealth Surveys that Include Social Determinants of Health. - Ashutosh Jadhav, Tyler Baldwin, Joy T. Wu, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization. - Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez:
Learning Predictive and Interpretable Timeseries Summaries from ICU Data. - Barrett Jones, Colin G. Walsh:
Unsupervised characterization of Major Depressive Disorder medication treatment pathways. - Jaehyun Joo, Blanca E. Himes:
Gene-Based Analysis Reveals Sex-Specific Genetic Risk Factors of COPD. - Jonathan Kelly, Chen Wang, Jianyi Zhang, Spandan Das, Anna Ren, Pradnya Warnekar:
Automated Mapping of Real-world Oncology Laboratory Data to LOINC. - Erin E. Kennedy, Kathryn H. Bowles:
Human Factors Considerations in Transitions in Care Clinical Decision Support System Implementation Studies. - Mirza S. Khan, Bennett A. Landman, Stephen A. Deppen, Michael E. Matheny:
Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports. - Grace Y. E. Kim, Morteza Noshad, Henning Stehr, Rebecca Rojansky, Dita Gratzinger, Jean Oak, Rondeep Brar, David Iberri, Christina Kong, James L. Zehnder, Jonathan H. Chen:
Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine. - Kevin J. Krause, Fenna Phibbs, Thomas Davis, Daniel Fabbri:
Predicting Motor Responsiveness to Deep Brain Stimulation with Machine Learning. - Rita Kukafka, Mari Millery, Samuel Pan, Thomas B. Silverman:
Trust and credibility of information sources related to COVID-19 among high-risk ethnically diverse adults at the onset of the New York City outbreak: A cross-sectional survey conducted via a community health portal. - Wilson Lau, Laura Aaltonen, Martin L. Gunn, Meliha Yetisgen:
Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation. - Daniel X. Le, James G. Mork, Sameer Antani:
Hybrid Ensemble-Rule Algorithm for Improved MEDLINE® Sentence Boundary Detection. - Eva K. Lee, Yifan Liu, Fan Yuan, Ferdinand H. Pietz:
Strategies for Disease Containment: A Biological-Behavioral-Intervention Computational Informatics Framework. - Gondy Leroy, David Kauchak, Nick Kloehn:
Incidence and Impact of Missing Functional Elements on Information Comprehension using Audio and Text. - Blake J. Lesselroth, William Dudney, Juell Homco, Melissa Van Cain, Savanna Smith, Audrey Corbett:
Teaching Medical Students Health Care Failure Mode and Effect Analysis: A Case Study of Inpatient Pain Management Computerized Decision Support. - Qian Li, Hansi Zhang, Zhaoyi Chen, Yi Guo, Thomas J. George, Yong Chen, Fei Wang, Jiang Bian:
Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes. - Rui Li, Fenglong Ma, Jing Gao:
Integrating Multimodal Electronic Health Records for Diagnosis Prediction. - Troy Li, Mica R. Curtin-Bowen, Avery Pullman, Stuart R. Lipsitz, Ania Syrowatka, Michael Sainlaire, Tien Thai, Alexandra C. Businger, Aileen Davis, Jay R. Lieberman, Bonnie Blanchfield, David W. Bates, Patricia C. Dykes:
Testing of a Risk-Standardized Major Bleeding and Venous Thromboembolism Electronic Clinical Quality Measure for Elective Total Hip and/or Knee Arthroplasties. - Xiaojin Li, Licong Cui, Fei Wang, Paul E. Schulz, Guo-Qiang Zhang:
Identifying Sleep-Related Factors Associated with Cognitive Function in a Hispanics/Latinos Cohort: A Dual Random Forest Approach. - Zhiguo Li, Jorma Toppari, Markus Lundgren, Brigitte I. Frohnert, Peter Achenbach, Riitta Veijola, Vibha Anand:
Imputing Longitudinal Growth Data in International Pediatric Studies: Does CDC Reference Suffice? - Jennifer J. Liang, Ching-Huei Tsou, Bharath Dandala, Ananya Poddar, Venkata Joopudi, Diwakar Mahajan, John M. Prager, Preethi Raghavan, Michele Payne:
Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record. - Wei-Chun Lin, Jimmy Chen, Joel V. Kaluzny, Aiyin Chen, Michael F. Chiang, Michelle R. Hribar:
Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients. - Lei Liu, Danny T. Wu, Stephen Andrew Spooner, Yizhao Ni:
Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts. - Yongtai Liu, Douglas Conway, Zhiyu Wan, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin:
De-identifying Socioeconomic Data at the Census Tract Level for Medical Research Through Constraint-based Clustering. - Brian Lo, Khaled Almilaji, Damian Jankowicz, Lydia Sequeira, Gillian Strudwick, Tania Tajirian:
Application of the i-PARIHS framework in the implementation of speech recognition technology as a way of addressing documentation burden within a mental health context. - Shuyu Lu, Ruoyu Chen, Wei Wei, Mia Belovsky, Xinghua Lu:
Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions. - Kevin Lybarger, Linzee Mabrey, Matthew R. Thau, Pavan K. Bhatraju, Mark M. Wurfel, Meliha Yetisgen:
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework. - Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou:
Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives. - Julia E. McGuinness, Tianmai M. Zhang, Kevin Cooper, Arusha Kelkar, Jill Dimond, Virginia Lorenzi, Katherine Crew, Rita Kukafka:
Extraction of Electronic Health Record Data using Fast Healthcare Interoperability Resources for Automated Breast Cancer Risk Assessment. - Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini:
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. - Iman Mohammadi, Saeed Mehrabi, Bryce Sutton, Huanmei Wu:
Word Embedding and Clustering for Patient-Centered Redesign of Appointment Scheduling in Ambulatory Care Settings. - Tamara Moores Todd, Kathryn Gibb Kuttler, Diego Ize-Ludlow:
Agile Implementation of Innovative End to End Technical Solutions for Respiratory Testing in the COVID-19 Pandemic. - Francesco Moramarco, Damir Juric, Aleksandar Savkov, Jack Flann, Maria Lehl, Tessa Grafen, Kristian Boda, Vitalii Zhelezniak, Sunir Gohil, Alex Papadopoulos-Korfiatis, Nils Hammerla:
Towards more patient friendly clinical notes through language models and ontologies. - Stephanie J. Müller, Rebone L. Meraba, Gciniwe S. Dlamini, Darlington S. Mapiye:
First-line drug resistance profiling of Mycobacterium tuberculosis: a machine learning approach. - Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Jonathan J. Ratcliff, Chandan K. Reddy, Vignesh Subbian:
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury. - Duy-Hoa Ngo, Madonna Kemp, Donna L. Truran, Bevan Koopman, Alejandro Metke-Jimenez:
Semantic Search for Large Scale Clinical Ontologies. - Dympna O'Sullivan, William Van Woensel, Szymon Wilk, Samson W. Tu, Wojtek Michalowski, Samina Abidi, Marc Carrier, Ruth Edry, Irit Hochberg, Stephen P. Kingwell, Alexandra Kogan, Martin Michalowski, Hugh O'Sullivan, Mor Peleg:
Towards a framework for comparing functionalities of multimorbidity clinical decision support: A literature-based feature set and benchmark cases. - Michal Ozery-Flato, Ora Pinchasov, Miel Dabush-Kasa, Efrat Hexter, Gabriel Chodick, Michal Guindy, Michal Rosen-Zvi:
Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization. - Yoonyoung Park, Natasha Mulligan, Martin Gleize, Morten Kristiansen, Joao H. Bettencourt-Silva:
Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health Data. - Harsh V. Patel, Nora Henrikson, James D. Ralston, Kathleen A. Leppig, Aaron Scrol, Gail P. Jarvik, Shannon DeVange, Eric Larson, Andrea L. Hartzler:
Implementation matters: How patient experiences differ when genetic counseling accompanies the return of genetic variants of uncertain significance. - Svati B. Patel, Nam Nguyen:
Creation of a Mapped, Machine-Readable Taxonomy to Facilitate Extraction of Social Determinants of Health Data from Electronic Health Records. - Rimma Perotte, Christina Hajicharalambous, Gregory Sugalski, Joseph Underwood:
Characterization of Electronic Health Record Documentation Shortcuts: Does the use of dotphrases increase efficiency in the Emergency Department? - Susan K. Peterson, Karen M. Basen-Engquist, Wendy Demark-Wahnefried, Alexander V. Prokhorov, Eileen H. Shinn, Stephanie L. Martch, Beth M. Beadle, Adam S. Garden, Emilia Farcas, G. Brandon Gunn, Clifton D. Fuller, William H. Morrison, David I. Rosenthal, Jack Phan, Cathy Eng, Paul M. Cinciripini, Maher Karam-Hage, Maria A. Camero Garcia, Kevin Patrick:
Feasibility of Mobile and Sensor Technology for Remote Monitoring in Cancer Care and Prevention. - Jimmy Phuong, Elizabeth Zampino, Nicholas J. Dobbins, Juan Espinoza, Daniella Meeker, Heidi Spratt, Charisse R. Madlock-Brown, Nicole Gray Weiskopf, Adam B. Wilcox:
Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model. - Adrienne Pichon, Betina Ross S. Idnay, Rebecca Schnall, Karen Marder, Chunhua Weng:
Cognitive Function Characterization Using Electronic Health Records Notes. - Madison A. Pickering, Subbarayan Venkatesan, Christoph U. Lehmann, Sameh N. Saleh, Richard J. Medford:
NetworkSIR and EnvironmentalSIR: Effective, Open-Source Epidemic Modeling in the Absence of Data. - Katrina Prantzalos, Jianzhe Zhang, Nassim Shafiabadi, Guadalupe Fernandez-BacaVaca, Satya S. Sahoo:
Epilepsy-Connect: An Integrated Knowledgebase for Characterizing Alterations in Consciousness State of Pharmacoresistant Epilepsy Patients. - Geetanjali Rajamani, Lianne Kurina, Lisa G. Rosas:
Investigating Health Information Technology Usage by Sociodemographic Subpopulations to Increase Community Engagement in Healthcare: An Analysis of the Health Information National Trends Survey. - Sirisha Rambhatla, Samantha Huang, Loc Trinh, Mengfei Zhang, Boyuan Long, Mingtao Dong, Vyom Unadkat, Haig Yenikomshian, Justin Gillenwater, Yan Liu:
DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning. - Molly Redman, Jenny Brian, Dongwen Wang:
Development of an Online Contraceptive Decision Aid for College Women. - Adam Rule, Sarah T. Florig, Steven Bedrick, Vishnu Mohan, Jeffrey Allen Gold, Michelle R. Hribar:
Comparing Scribed and Non-scribed Outpatient Progress Notes. - Savitha Sangameswaran, Courtney Segal, Dori E. Rosenberg, Reggie Casanova-Perez, David J. Cronkite, John L. Gore, Andrea L. Hartzler:
Design of digital walking programs that engage prostate cancer survivors: Needs and preferences from focus groups. - Thiago Santos, Omar Kallas, Janice M. Newsome, Daniel L. Rubin, Judy W. Gichoya, Imon Banerjee:
A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text. - Melody K. Schiaffino, Zhan Zhang, David Sachs, John Migliaccio, Jina Huh-Yoo:
Predictors of Retention for Community-Based Telehealth Programs: A Study of the Telehealth Intervention Program for Seniors (TIPS). - Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Gary Yeeming Ge, Jin Chen:
Cross-Vendor CT Image Data Harmonization Using CVH-CT. - Ingroj Shrestha, Padmini Srinivasan:
Comparing Deep Learning and Conventional Machine Learning Models for Predicting Mental Illness from History of Present Illness Notations. - Manan Shukla, Jianjing Lin, Oshani Seneviratne:
BlockIoT: Blockchain-based Health Data Integration using IoT Devices. - Peter A. Stella, Elizabeth Haines, Yindalon Aphinyanaphongs:
Prediction of Resuscitation for Pediatric Sepsis from Data Available at Triage. - Wu-Chen Su, Khyati Mehta, Kirandeep Gill, Peng Yeh, Ming-Yuan Chih, Danny T. Wu:
Assessing the Readability of App Descriptions and Investigating its Role in the Choice of mHealth Apps: Retrospective and Prospective Analyses. - Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar:
The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. - Timothy Tsai, Mina Boazak, Eugenia R. McPeek Hinz:
Increased Clinician Time Using Electronic Health Records During COVID-19 Pandemicx. - Jennifer Ushe, Doug Redd, Scarlyn Gutierrez Nunez, Eduardo A. Trujillo-Rivera, Senait Tekle, Stuart J. Nelson, Qing T. Zeng:
Healthy Lifestyle and Mood: A Biomedical Informatics Citizen Science Project in a High School Classroom. - David K. Vawdrey, William Cauthorn, Diane Francis, Kathy Hackenberg, Gerald Maloney, Benjamin Hohmuth:
A Practical Approach for Monitoring the Use of Copy-Paste in Clinical Notes. - Nicole Veggiotti, Lucia Sacchi, Mor Peleg:
Enhancing the IDEAS Framework with Ontology: Designing Digital Interventions for Improving Cancer Patients' Wellbeing. - Nephi Walton, Darren Johnson, Bret S. E. Heale, Thomas N. Person, Marc S. Williams:
Creating a Home for Genomic Data in the Electronic Health Record. - Emma Whitfield, Claire Coffey, Huayu Zhang, Ting Shi, Xiaodong Wu, Qiang Li, Honghan Wu:
Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes. - Jiancheng Ye:
Design and development of an informatics-driven implementation research framework for primary care studies. - Hao Yu, Shize Jiang, Yan Huang, Xiaojin Li, Xiaoling Wang, Liang Chen, Jin Chen:
Characterizing Brain Signals for Epileptic Pre-ictal Signal Classification. - Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu:
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. - Jianqiu Zhang, Paul E. Drawz, Ying Zhu, Gretchen M. Hultman, György J. Simon, Genevieve B. Melton:
Validation of Administrative Coding and Clinical Notes for Hospital-Acquired Acute Kidney Injury in Adults. - Jianzhe Zhang, Roland Bauman, Nassim Shafiabadi, Nick Gurski, Guadalupe Fernandez-BacaVaca, Satya S. Sahoo:
Characterizing Brain Network Dynamics using Persistent Homology in Patients with Refractory Epilepsy. - Zhan Zhang, Aleksandra Sarcevic, Karen Joy, Mustafa Ozkaynak, Kathleen Adelgais:
User Needs and Challenges in Information Sharing between Pre-Hospital and Hospital Emergency Care Providers. - Yunpeng Zhao, Pengfei Yin, Yongqiu Li, Xing He, Jingcheng Du, Cui Tao, Yi Guo, Mattia Prosperi, Pierangelo Veltri, Xi Yang, Yonghui Wu, Jiang Bian:
Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets. - Alexandra Zingg, Tavleen Singh, Sahiti Myneni:
Towards Digestible Digital Health Solutions: Application of a Health Literacy Inclusive Development Framework for Peripartum Depression Management.
Podium Abstract
- Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter W. J. Staar, Skyler Speakman, Kenya Andrews, Chinyere Agunwa, Justin Jia, Elizabeth E. Bailey, Jules Lipoff, Ginikanwa Onyekaba, Veronica Rotemberg, Ademide Adelekun, James Y. Zou:
Racial Representation Analysis in Dermatology Academic Materials. - Fuad Abujarad, Esther Choo, Michael Pantalon, Karen Jubanyik, Dziura James, Chelsea Edwards, Gail D'Onofrio, Thomas Gill:
Feasibility of a Self-Administrated Elder Abuse Digital Screening Tool for Use in Emergency Department Settings. - Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noemie Elhadad:
Exploring Automatic Summarization of the Hospital Course. - Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak:
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. - David J. Albers, Deepak K. Agrawal, Bradford J. Smith, Peter D. Sottile, Tellen D. Bennett, Jake Stroh, George Hripcsak:
Toward phenotyping of ventilator-induced lung injury with a damage-informed pulmonary model of lung-ventilator interaction. - Katerina Andreadis, Ethan Chan, Minha Park, Natalie C. Benda, Mohit Manoj Sharma, Michelle Demetres, Diana Delgado, Elizabeth Sigworth, Qingxia Chen, Andrew Liu, Lisa Grossman Liu, Marianne Sharko, Brian J. Zikmund-Fisher, Jessica S. Ancker:
Imprecision and Preferences in Interpretation of Verbal Probabilities in Health: A Systematic Review. - Nate C. Apathy, A Jay Holmgren, Shane Greenstein:
Spillover Effects from the HITECH Act on Innovation in Medical Informatics. - Douglas Arneson, Rohit Vashisht, Vivek A. Rudrapatna, Atul J. Butte:
A Generalizable Framework for Cost-Effectiveness Analysis of Antihypertensive Drugs Leveraging Real-World Evidence. - Eliah Aronoff Spencer, Melanie McComsey, Alexandra Hubenko, Ming-Yuan Chih, Timothy Mullett, Corey E. Baker, John Kim, David K. Ahern, Michael C. Gibbons, Joseph A. Cafazzo, Pia Nyakairu, Robin C. Vanderpool, Bradford W. Hesse:
Design for Health System Resilience in Challenging Times: A Framework for Remote Cancer Care Through Community Codesign. - Hafiz Salman Asif, Periklis A. Papakonstantinou, Stephanie Shiau, Vivek K. Singh, Jaideep Vaidya:
Accurately and Privately Reporting Crowdsensed COVID-19 Data. - Rebecca L. Baker, Rhonda Facile, Bess LeRoy:
Applying Real World Data to CDISC Standards through the Joint FHIR® to CDISC® Mapping Document. - Emily Bascom, Reggie Casanova-Perez, Harshini Ramaswamy, Deepthi Mohanraj, Janice Sabin, Wanda Pratt, Andrea L. Hartzler:
Toward Patient-Centered Informatics Solutions: The Role of Intersectionality. - Joseph Beals, Kathy Belk, Sheila Coonan, Jacqueline Laird:
Beyond Absolute Acuity: Changes in Relative Acuity Direct Proactive Rapid Response Teams toward Meaningful Interventions. - Oliver J. Bear Don't Walk IV, Kevin K. Wiley, Lois Walters-Threat, Rebecca L. Rivera, Martin Chieng Were, Tiffani J. Bright:
A Framework to Support Diversity, Equity, and Inclusion within AMIA Through Strengthened Pathways, Support and Leadership. - Biplab Sudhin Bhattacharya, Debdipto Misra, Eric S. Reich, Jason Puckey, David K. Vawdrey:
Forecasting Inpatient Bed Demand to Respond to the COVID-19 Pandemic. - Shreyas Bhave, Pierre A. Elias, Victor Alfonso Rodriguez, Timothy Poterucha, Simi Mutasa, Jay Leb, Nir Uriel, Adler J. Perotte:
LVHNet: Detecting Cardiac Structural Abnormalities with Chest X-Rays. - Shreyas Bhave, Adler J. Perotte:
Multi-Channel LSTM for Modeling Irregularly Sampled Time Series. - Anweysha Bhowmik, Logan Cameron, Julia Ivanova, Stanley Haynes, Ariana Cano, George Runger, Anita C. Murcko:
Latinx Acculturation Scales: Scoping Review and Novel Scale Selection Tool. - Lisa Anne Bove, Stephanie Turrise:
Augmenting Barbershop Initiative Health Promotion with Wearables in African-American Populations. - Tiffani J. Bright, Allison B. McCoy, Dilhan Weeraratne, Kim M. Unertl:
Developing an Academic-Industry Internship to Train Next-Generation Biomedical Informaticians. - Tiffani J. Bright, Carolyn Petersen, Karen Wang, Clair A. Kronk, Patricia C. Dykes:
How Will AMIA Lead? An Environmental Scan of Diversity, Equity, and Inclusion Activities within the Healthcare and Health IT Space. - Alon Brutzkus, Pinchas Akiva, Guy Amit:
To Deep or Not to Deep: Comparison of Traditional and Deep Learning Models in Disease Prediction from Electronic Health Records. - Hannah A. Burkhardt, George Alexopoulos, Michael D. Pullmann, Thomas D. Hull, Patricia A. Areán, Trevor A. Cohen:
Linguistic indicators of Behavioral Activation in text-based therapy sessions anticipate changes in depression symptomatology. - Elizabeth A. Campbell, Saurav Bose, Aaron J. Masino:
Obesity Classifier Performance Disparities by Demographic Subgroup. - Ian M. Campbell, Morgan L. McManus, David C. Junod, Fred C. Cusick, Sarah E. Sheppard, Eli M. Lourie, Eric D. Shelov, Anthony A. Luberti:
Clinical Decision Support with a Comprehensive in-EHR Patient Tracking System to Improve Inpatient Genetic Testing Follow Up. - Rich Caruana, Benjamin J. Lengerich, Yindalon Aphinyanaphongs:
Data-Driven Patterns in Protective Effects of Ibuprofen and Ketorolac on Hospitalized Covid-19 Patients. - Qingyu Chen, Tiarnan D. Keenan, Emily Y. Chew, Zhiyong Lu:
Deep learning detection of reticular pseudodrusen using multi-modal, multi-task, and multi-attention mechanisms: towards automated and accessible classification of age-related macular degeneration. - Kevin Bretonnel Cohen, Anna M. Ripple, Asma Ben Abacha, Olivier Bodenreider, Orin Hargraves, Karin Verspoor, Pierre Zweigenbaum, Dina Demner-Fushman:
Reproducibility in biomedical natural language processing: A FAIR approach to what we need to know. - Benjamin Collins, Linda Felver, Pamela Pierce:
Examining the Sociotechnical Process of Clinical Photography to Encourage Photo Diversity in Medical Education. - Conor K. Corbin, Arhana Chattopadhyah, Lillian Sung, Amy Chang, Stan Deresinski, Jonathan H. Chen:
A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department. - Anne A. H. de Hond, Esmee Stoop, Nicole van Keulen, Loes van Winden, Ellen Poorter, Douwe Atsma, Ilse M. J. Kant, Ewout W. Steyerberg:
Development and Validation of a Machine Learning Model to Predict Contact Moments in Post-Myocardial Infarction Home Measurements. - Sarah DeLozier, Josh F. Peterson, Joshua C. Denny, Lisa Bastarache:
Using Genomic Association Replication Rates as an EHR Quality Measure via the Phenotype-Genotype Reference Map (PGRM). - William Digan, Aurélie Névéol, Antoine Neuraz, Maxime Wack, David Baudoin, Anita Burgun, Bastien Rance:
Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites. - Brian E. Dixon, Kimberly M. Judon, Ashley L. Schwartzkopf, Vivian Guerrero Aquino, Nicholas S. Koufacos, Justine May, Cathy C. Schubert, Kenneth S. Boockvar:
Alerting Primary Care Teams to Out-of-Network Acute Care Events using Health Information Exchange: Impact on Timely Follow-Up. - Caitlin N. Dreisbach, Katherine South, Theresa A. Koleck, Veronica Barcelona, Lena Mamykina, Noémie Elhadad, Suzanne Bakken:
Informing Symptom Science Using a Citizen Science Application in the COVID-19 Pandemic. - Adam C. Dziorny, Julia A. Heneghan, Moodakare A. Bhat, Dean Karavite, L. Nelson Sanchez-Pinto, Jennifer McArthur, Naveen Muthu:
Clinical Decision Support in the Pediatric ICU: A Multi-Institution Survey. - Peter J. Embí, Marcelo A. Lopetegui, Joshua R. Vest:
Development and Global Use of a Platform-Independent Mobile App to Enable Citizen-Scientist Data Collection on Mask-Wearing. - Jordan Everson, Julia Adler-Milstein:
Advancing National HIE Measurement by Using Shared Patients Volume. - Jordan Everson, Vaishali Patel:
The Relationship between Multiple Methods used to Obtain Health Information and Use of Outside Information by Hospitals. - Liyue Fan, Zeyun Wu, Luca Bonomi:
Collecting and Sharing ECG Data with Privacy Protection. - Abiola Femi-Abodunde, Kristen Olinger, Lauren M. B. Burke, Thad Benefield, Ellie R. Lee, Katrina McGinty, Benjamin M. Mervak:
Radiology Dictation Errors with COVID-19 Protective Equipment: Does Wearing a Surgical Mask Increase the Error Rate When Using Speech-Recognition? - Dezon K. Finch, Lina Bouayad, Timothy P. Hogan, Sarah L. Cutrona, Byron C. Wallace, Stephen L. Luther, Bridget Smith, Stephanie L. Shimada:
Identifying Communication Behavior Indicators in Secure Messages. - Rafaela S. Fontenele, Simona Kraberger, James Hadfield, Erin M. Driver, Devin Bowes, LaRinda A. Holland, Temitope O. Faleye, Sangeet Adhikari, Rahul Kumar, Rosa Inchausti, Wydale K. Holmes, Stephanie Deitrick, Philip Brown, Darrell Duty, Aruni Bhatnagar, Ray A. Yeager, Rochelle H. Holm, Kevin Dixon, Tim Constantine, Melissa A. Wilson, Efrem S. Lim, Xiaofang Jiang, Rolf U. Halden, Matthew Scotch, Arvind Varsani:
High-throughput sequencing of SARS-CoV-2 in wastewater provides insights into circulating variants. - Kin Wah Fung, Julia Xu, Shannon McConnell-Lamptey, Donna Pickett, Olivier Bodenreider:
Can ICD-11 Replace ICD-10-CM for Morbidity Coding in the U.S.? - Yao Ge, Yuting Guo, Abeed Sarker:
Mining and characterizing long-COVID symptoms from self-reports on Reddit. - Rachel Gold, Patrick J. O'Connor, Annie Larson, JoAnn M. Sperl-Hillen, Dave Boston, A. Lauren Crain, Christina Sheppler, Mary Middendorf, Ann Romer, John Heintzman, Deepika Appana:
Impact of a Clinical Decision Support Tool for Cardiovascular Preventive Care in Community Health Centers: Randomized Trial Results. - Ilana Graetz, Rebecca Krukowski, Janeane Anderson, Mehmet Kocak, Teresa Waters, Edward Stepanski, Andrea Curry, Gregory A. Vidal, Andrew Robles, Lee Schwartzberg:
Patient perspectives on an interactive mHealth intervention to improve symptom management and medication adherence in early-stage breast cancer: Evidence from the THRIVE Study. - Shaun J. Grannis, Abel N. Kho, Jasmin Phua, Suranga Nath Kasthurirathne:
Evaluation of Token Collections and Matching Models to Support Privacy-Preserving Record Linkage (PPRL). - Ashley C. Griffin, Lucas Mentch, Feng-Chang Lin, Arlene E. Chung:
Precision VISSTA Study: mHealth Physical Activity Patterns and Patient-Reported Outcomes in Patients with Inflammatory Bowel Diseases. - Lisa Grossman Liu, Meghan Reading Turchioe, David Russell, Annie C. Myers, David K. Vawdrey, Ruth Masterson Creber:
Effect of Abbreviation and Acronym Expansion on Patients' Comprehension of their Health Records: A Randomized Trial. - Elham Hatef, Masoud Rouhizadeh, Claudia Nau, Fagen Xie, Ariadna Padilla, Lindsay Joe Lyons, Christopher Rouillard, Mahmoud Abu-Nasser, Hadi Kharrazi, Jonathan P. Weiner, Douglas Roblin:
Assessing the Documentation of Social Needs in Electronic Health Records' Unstructured Data: A Collaboration of Johns Hopkins Health System and Kaiser Permanente. - Huan He, Irbaz Bin Riaz, Syed Arsalan Ahmed Naqvi, Rabbia Siddiqi, Noureen Asghar, Mohammad Hassan Murad, Hongfang Liu:
A Hybrid Approach to Semi-Automate the Screening Process for Living Systematic Reviews and Meta-Analysis. - Lu He, Ya Cheng, Tianyang Zhou, Yongxu Xian:
Investigating the Narratives of Anti-Asian Hate Speech on Twitter During the COVID-19 Pandemic. - Felix Holl, Fabian Flemisch, Walter Swoboda, Johannes Schobel:
Apps for Covid-19 in Germany: Assessment Using the Mobile Application Rating Scale. - A Jay Holmgren, N. Lance Downing, Mitchell Tang, Christopher D. Sharp, Christopher A. Longhurst, Robert S. Huckman:
Assessing the Impact of COVID-19 on Clinician Electronic Health Record Use. - Ming Huang, Aditya Khurana, George M. Mastorakos, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Julie E. Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Christi A. Patten, Jungwei Fan, Hongfang Liu:
Patient Asynchronous Response to Coronavirus Disease 2019 (COVID-19): A Retrospective Analysis of Patient Portal Messages. - Yufang Huang, Yifan Liu, Peter A. D. Steel, Kelly M. Axsom, John R. Lee, Sri Lekha Tummalapalli, Alison Hermann, Rochelle Joly, Fei Wang, Jyotishman Pathak, Lakshminarayanan Subramanian, Yiye Zhang:
Deep Significance Clustering (DICE) a Heterogenous Population. - Marie Humbert-Droz, Suzanne Tamang, Olivier Gevaert:
Leveraging the MedDRA Biomedical Terminology and Weak Labeling for Mental Health Symptom Surveillance from patient Notes. - Bradley E. Iott, Jessica Annette Pater, Shauna Wagner, Tammy Toscos, Tiffany C. Veinot:
Opportunities to Improve Social Determinants of Health Screening Implementation Through Training and Support for Providers: Implications for Health Information Technology. - Wui Ip, Priya Prahalad, Jonathan Palma, Jonathan H. Chen:
A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral. - Sarah J. Iribarren, Kyle Goodwin, Alex Stabile, Alfie Vidrio, Rebecca Schnall, George Demiris:
Tuberculosis treatment support tools: Iterative refinement based on a mixed-method randomized controlled pilot study and usability testing. - Rezarta Islamaj, Dongseop Kwon, Sun Kim, Zhiyong Lu:
TeamTat: A Collaborative Text Annotation Tool for Creating Gold-Standard Corpora. - Rezarta Islamaj, Robert Leaman, David Cissel, Cathleen Coss, Carol Fisher, Rob Guzman, Preeti Gokal Kochar, Dorothy Trinh, Deborah Whitman, Keiko Sekiya, Zhiyong Lu:
NLM-Chem, a Gold-Standard Corpus for Chemical Entity Recognition in PubMed Full Text Literature. - Miriam Isola, Radhika Sreedhar, Linda F. Chang, Tushar Patel, Max Anderson, Jacob Krive:
Medical Curriculum Elective to Integrate Clinical Analytics and Artificial Intelligence in Preparing Physicians for the Digitally Enabled Practice. - Bocheng Jing, Anish Prasanna, Elaine Johanson, Sarah Stephens, Samir Lababidi, Ezekiel J. Maier, Amanda Purnell:
Leveraging precisionFDA and Synthetic Data to Improve Veteran Healthcare. - Andrea F. Kalvesmaki, Alec Chapman, Kelly S. Peterson, Mary Jo Pugh, Makoto Jones, Theresa Gleason:
Responding to a Crisis of Veteran Suicide QUICkly: A Qualitative Interdisciplinary Collaboration. - Swaminathan Kandaswamy, Shabnam Jain, Dwight Chambers, William R. Wilcox, Beesan Agha, Sara Brown, Evan W. Orenstein:
Improving Outcomes for Pediatric Patients with Metabolic Conditions in the ED using User Centered Design for Order Sets. - Uri Kartoun, Shaan Khurshid, Bum Chul Kwon, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng:
How Robust is Your Risk Model? Assessing Subpopulation Performance Heterogeneity in Risk Models Based on Discrimination, Calibration, and Fairness Measures: An Atrial Fibrillation Use Case. - Nitu Kashyap, Sarah A. Kelly, Rebecca Mccray, Allen Hsiao:
Informatics-Driven COVID-19 Vaccine Enterprise: Lessons for the Future. - Mary Kennedy-Moore, Stephen A. Mustillo, Connor Kennedy, Zakir Hussain, Jessica D. Tenenbaum:
NLP-Driven Automated News Monitoring Solution for COVID-19 Response. - Ellen K. Kerns, Russell J. McCulloh, Chad J. Abresch:
COVID-19 Clinical and Social Surveillance System for After School Programs. - Hadi Kharrazi, Hsien-Yen Chang, Elham Hatef, Xiaomeng Ma, Jonathan P. Weiner:
Improving the Prediction of Healthcare Costs and Utilization Using the Area Deprivation Index and Statewide Insurance Data. - Anjum Khurshid, Eliel C. de Oliveira, Vidya Laskhminarayanan, Vishal Abrol:
FHIRedApp: A LEAP in Health Information Technology for Promoting Patient Access and Health Equity. - Youngjun Kim, Paul M. Heider, Stéphane M. Meystre:
Clinical Concept Extraction Using Contextual String Embeddings. - Spyros Kitsiou, Susan Pressler, Mayank Kansal, Susan Buchholz, Jinsong Chen, Jonathan Leigh, Ayomide Owoyemi, Ben S. Gerber:
Feasibility and efficacy of using commercially available mHealth technologies and tailored text messages to improve self-care in patients with heart failure: Phase I clinical trial of the iCardia4HF intervention. - Polina V. Kukhareva, Charlene R. Weir, Thomas J. Reese, Teresa Taft, Guilherme Del Fiol, Kensaku Kawamoto:
Challenges and Solutions to Promoting Evaluation Practices in Software Development Process within an Academic Medical Center. - Patrick J. Lawrence, Xia Ning:
Improving MHC Class I Antigen Processing Prediction via Representation Learning and Cleavage Site-Specific Kernels. - Robert Leaman, Qingyu Chen, Alexis Allot, Zhiyong Lu:
Long Covid: A Comprehensive Collection of Articles Regarding Long-Haul Symptoms in COVID-19 Survivors. - Lucinda B. Leung, Lisa Rubinstein, Erin Jaske, Chelle L. Wheat, Karin Nelson, Bradford L. Felker:
VA's National Telehealth Program: Contrasting Telehealth Modalities used by Primary Care and Mental Health Specialties during the COVID-19 Pandemic. - Rebecca T. Levinson, Jennifer R. Malinowski, Luke V. Rasmussen, Suzette J. Bielinski, Véronique L. Roger, Quinn Stanton Wells, Laura K. Wiley:
Impact of Sex and Gender Disparities on Computational Phenotyping: A Potential Barrier to an Equitable Learning Health System. - Sunny C. Lin, Julie Reeder, Mary Vest, Kathy Harris, Jill Castek:
Digital Readiness: Are Low-Income Populations Prepared for Telehealth? - Feifan Liu, Noha Sharafeldin, Vithal Madhira, Katie R. Bradwell, Qianqian Song, Benjamin Bates, Yu R. Shao, Jing Su, Alfred Anzalone, Timothym Bergquist, Sarah Cutrona, Ben S. Gerber, Peter N. Robinson, Justin Guinney, Umit Topaloglu:
COVID-19 Mortality Prediction among Patients with Cancer Using a Large National Cohort. - Siru Liu, Jialin Liu:
Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines. - Sunny S. Lou, Daphne Lew, Derek Harford, Chenyang Lu, Bradley A. Evanoff, Jennifer G. Duncan, Thomas George Kannampallil:
A Longitudinal Study of Burnout and Clinical Workload Measured With Electronic Health Record Audit Logs. - Yuan Luo, Andrew J. Cooper, Raymond Kang, Ronald Ackermann:
Feasibility of using machine learning on insurance claims to identify correlates of lower extremity amputation in insured adults with type 2 diabetes who initiate treatment with sodium-glucose co-transporter 2 (SGLT-2) inhibitors. - Sabrina Mangal, Leslie Park, Meghan Reading Turchioe, Lisa Grossman Liu, Annie C. Myers, Brittany N. Taylor, Parag Goyal, Lydia Dugdale, Ruth Masterson Creber:
Patient Preferences for Accessing, Communicating, and Sharing Health Information using Visualized Patient-Reported Outcomes. - Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Fei Wang, Richard Isaacson, Jyotishman Pathak, Yuan Luo:
A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease. - Ben J. Marafino, Alejandro Schuler, Vincent X. Liu, Art B. Owen, Gabriel J. Escobar, Michael Baiocchi:
Integrating Evaluations of Predictive Algorithm-Driven Interventions into Clinical Workflows with the Dynamic Discontinuity Deployment Design. - Susana B. Martins, Cora L. Bernard, Suzanne Tamang, Jodie Trafton:
Managing Health Care Knowledge in Predictive Modeling, Clinical Decision Support and Metric Reporting - eXecutable Library Architecture (XLA). - Aaron J. Masino, Mary Catherine Harris, Lakshmi Srinivasan, Robert W. Grundmeier:
Longitudinal Performance of a Machine Learning NICU Sepsis Predictor. - Elliot G. Mitchell, Lena Mamykina:
"There for You Every Day": Pilot Study of an Automated Conversational Health Coach. - Heidi M. Munger Clary, Beverly M. Snively, Umit Topaloglu, Pamela Duncan, James Kimball, Halley Alexander, Gretchen A. Brenes:
Pragmatic Patient Reported Outcomes via EHR Patient Portal vs. Telephone: A Pilot Randomized Controlled Trial among Adults with Epilepsy and Anxiety or Depression Symptoms. - Minh Nguyen, Nicolai P. Ostberg, Conor K. Corbin, Tiffany Eulalio, Gautam Machiraju, Ben J. Marafino, Michael Baiocchi, Christian Rose, Jonathan H. Chen:
Predicting Level of Care for Emergency Hospital Admissions to Optimize Triage. - Yizhao Ni, Farhan Zafar, Alia Dani, David Morales, Lara J. Kanbar:
Developing an Automated Recipient Risk Prediction Tool for Life-long Mortality After Pediatric Heart Transplantation. - Paige Nong, Alicia Williamson, Jodyn Platt, Denise L. Anthony:
Experiences of Discrimination and Withholding Information from Providers. - Anna Ostropolets, Patrick B. Ryan, George Hripcsak:
PHenotype Observed Entity Baseline Endorsements (PHOEBE) - recommender system for concept selection in phenotype algorithm development. - Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley, Thomas N. Person, David J. Cronkite, Sunghwan Sohn, Shawn N. Murphy, Justin H. Gundelach, Vivian S. Gainer, Victor M. Castro, Cong Liu, Todd Lingren, Frank D. Mentch, Agnes S. Sundaresan, Garrett Eickelberg, Valerie Willis, Al'ona Furmanchuk, Roshan Patel, David S. Carrell, Marc S. Williams, Elizabeth W. Karlson, Jodell E. Linder, Yuan Luo, Chunhua Weng, Wei-Qi Wei:
Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network. - Rema Padman, Sameera Kodi, Urmila Ravichandran, Nirav Shah:
Statistical Modeling of Multiple Vital Sign Trajectories to Assess Risk of Postoperative Complications and Predict Readmission. - Joseph M. Plasek, Chunlei Tang, Xiaoxia Wang, Yun Xiong, Yangyong Zhu, Yanming He, Patricia C. Dykes, David W. Bates, Li Zhou:
Addressing Disparities in Diabetes Using Temporal Fairness Models. - Kimberly R. Powell, Gregory L. Alexander:
Consequences of Rapid Telehealth Expansion in US Nursing Homes: Exploring Stakeholder Perspectives. - Mary Jo Pugh, Megan Amuan, Robert Graziano, Dina Hooshyar, Jack Tsai, Audrey L. Jones, Richard Nelson, Megan Vanneman, Eric B. Elbogen:
Homelessness and Criminal Justice Involvement in Veterans after Military Separation. - Miao Qi, Amar K. Das, Kristin P. Bennett:
Planning Equitable Clinical Trial Enrollment using Integer Programming. - Priya Ramaswamy, Phoebe Lu, Jen Gong, Travis C. Porco, Priya Shete, Seth Blumberg, Xinran Liu:
COVID19 Hospital Length of Stay, Readmission Rate, and Hospital Death Tied to Socioeconomic Area of Deprivation Index. - Laila Rasmy, Masayuki Nigo, Bijun S. Kannadath, Ziqian Xie, Bingyu Mao, Khush A. Patel, Wanheng Zhang, Yujia Zhou, Angela Ross, Hua Xu, Degui Zhi:
CovRNN: predicting outcomes of COVID-19 patients on admission using their electronic health records with minimal data processing. - Harry Reyes Nieva, Tony Sun, Sharon Lipsky Gorman, Grace Mao, Noemie Elhadad:
Differential Presentation and Delays in Treatment for Acute Myocardial Infarction Associated with Sex and Race/Ethnicity. - Chelsea Richwine, Carmelita Marshall, Christian Johnson, Vaishali Patel:
Challenges to Public Health Reporting Experienced by Hospitals. - Christian Rose, Morteza Noshad, Jonathan H. Chen:
Signal from the Noise: Quantitative Measures of Conformity and Variability From Process Mining Maps. - Benjamin I. Rosner:
Cyberchondria: Does mHealth Technology Reassure Patients or Promote Hypervigilance? An Observational Cohort Study Following Total Joint Arthroplasty. - Benjamin I. Rosner, Robert Thombley, Wendi Zhao:
The Efficient Inpatient Provider: Wh-EHR to Find Best Practices. - Sarah Collins Rossetti, Graham Lowenthal, Christopher Knaplund, Min-Jeoung Kang, Patricia C. Dykes, Sandy Cho, Po-Yin Yen, Kenrick Cato:
Pre- and Intra-COVID-19 Comparison of Nursing Flowsheet Documentation Burden in Acute and Critical Care Units. - Cartik Saravanamuthu, Michele Likens, Shaadi Mehr, Jen Yesil, Daniel Auclair, Hearn J. Cho, Steven E. Labkoff:
MMRF CureCloud(R) Direct-to-Patient Registry: A Workflow and Interim Recruitment Update. - David J. Schlueter, Lina M. Sulieman, Jacob M. Keaton, Tracey Ferrara, Kyle Webb, Ariel Williams, Francis Ratsimbazafy, Jun Qian, Lisa Bastarache, Andrea H. Ramirez, Joshua C. Denny:
Systematic replication of smoking disease associations in the All of Us Research Program. - Courtney D. Segal, Zhehao Zhang, Bryant Thomas Karras, Janet G. Baseman:
WA Notify, A COVID-19 Exposure Notifications Tool: Modeling Cases Averted in Washington State. - Yijun Shao, Ali Ahmed, Edward Zamrini, Yan Cheng, Qing Zeng-Treitler:
Enhancing Clinical Data Analysis by Explaining Interaction Effects Between Covariates in Deep Neural Network Models. - Mohit Manoj Sharma, Yonaka Harris, Yiye Zhang, Jyotishman Pathak:
Prescribing Pharmacogenomics Testing: Analyzing the Acceptance of Healthcare Providers through a Survey Study. - Priti Singh, Pallavi Jonnalagadda, Evan Morgan, Naleef Fareed:
Outpatient Portal Use in Pregnant Women for Blood Glucose Management. - Lauren E. Snyder, Daniel F. Phan, Sarah E. Connor, Sheba George, Kristen Williams, Jefersson Vilatoro Chavez, Ayan Anandkumar Saraf, Lorna Kwan, Nick Reid, John L. Gore, Mark S. Litwin, Andrea L. Hartzler:
User Evaluation of Interactive Longitudinal PRO Visualizations Designed by Prostate Cancer Survivors with Limited Graph Literacy. - Sunghwan Sohn, Sungrim Moon, Larry J. Prokop, Victor M. Montori, Jungwei Fan:
A Scoping Review of Informatics Research for Clinical Practice Variation. - Wenyu Song, Linying Zhang, Michael Sainlaire, Mehran Karvar, Min-Jeoung Kang, Avery Pullman, Anthony F. Massaro, Namrata Patil, Ravi Jasuja, Patricia C. Dykes:
Predicting Hospitalization of COVID-19 Positive Patients Using Machine Learning Methods. - Matthew E. Spotnitz, Jason Patterson, Vojtech Huser, Chunhua Weng, Karthik Natarajan:
Harmonization of Measurement Codes for Concept-Oriented Lab Data Retrieval. - Peter A. D. Steel, David Bodnar, Maryellen Bonito, Jane Torres-Lavoro, Dona Bou Eid, Andrew Jacobowitz, Yifan Liu, Amos Shemesh, Robert Tanouye, Patrick Rumble, Daniel Dicello, Rahul Sharma, Brenna Farmer, Sandra Pomerantz, Yiye Zhang:
MyEDCare: Evaluation of a Smartphone-based Emergency Department Discharge Process. - Bryan D. Steitz, Adam Wright:
Evaluating Primary Care Provider Work of Managing Asynchronous Messages through Electronic Health Record Access Logs. - Daniel J. Stone, Sijia Liu, Yuan Luo, Andrew Wen, Nansu Zong, Luke V. Rasmussen, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Fei Wang, Cui Tao, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR. - Jing Su, Pengyue Zhang, Zuoyi Zhang, Michael Eadon, Xiaochun Li, Tian He, Stanley Taylor, Travis Johnson, Zhaorui Liu, Ziyang Tang, Baijian Yang, Qianqian Song, Kun Huang:
PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence. - Tony Y. Sun, Oliver J. Bear Don't Walk IV, Jenny Chen, Jaan Altosaar, Harry Reyes Nieva, Noemie Elhadad:
Gender Differences in Time to Diagnosis through Fairness and Time Variant Evaluation of EHR Data. - Tania Tajirian, Brian Lo, Gillian Strudwick, Lydia Sequeira, Damian Jankowicz:
Physicians with hybrid skillsets in digital health and informatics facilitate necessary innovation in mental health care delivery: A physician engagement strategy. - Hung-Jui Tan, Arlene E. Chung, David Gotz, Antonia Bennett, Allison Deal, Matthew E. Nielsen, Ethan M. Basch:
Urologist use and perceptions of the EHR: Perspectives from a Surgical Specialty. - Ziyang Tang, Qianqian Song, Jing Su, Baijian Yang:
ADNet: Identify biomarkers of Alzheimer Disease with MRI and EMR data using Deep Neural Networks. - Robert W. Turer, Catherine M. DesRoches, Liz Salmi, Tara Helmer, Samuel T. Rosenbloom:
Patient Perceptions of Receiving COVID-19 Test Results via an Online Patient Portal. - Marieke M. van Buchem, Olaf M. Neve, Hileen Boosman, Ilse M. J. Kant, Erik F. Hensen:
The added value of natural language processing in automated analysis of patient experiences. - Alex H. Wagner, Lawrence J. Babb, Melissa S. Cline, Helen Schuilenburg, Tristan Nelson, Robert R. Freimuth, Reece Hart:
The GA4GH Variation Representation Specification (VRS): a Computational Framework for the Precise Representation of Molecular Variation. - H. Echo Wang, Hadi Kharrazi:
An Evaluation of Racial Disparity in 30-Day Hospital Readmission Models. - Liqin Wang, Dinah Foer, Erin MacPhaul, Ying-Chih Lo, David W. Bates, Li Zhou:
Development of a Post-Acute Sequelae of COVID-19 (PASC) Symptom Lexicon Using Electronic Health Record Clinical Notes. - Liqin Wang, John Laurentiev, Jie Yang, Ying-Chih Lo, Rebecca E. Amariglio, Gad Marshall, Li Zhou:
Comparison of Machine Learning Algorithms for Earlier Detection of Cognitive Decline from Clinical Notes in the Electronic Health Records. - Zidan Wang, Jiancheng Ye:
The impact of COVID-19 pandemic on health information sharing and patient-generated health data: findings from the Health Information National Trends Survey 2020. - Kyle P. Webb, David J. Schlueter, Jacob Keaton, Tracey Ferrara, Ariel Williams, Joshua Denny:
Comparing the Phenomic Profile of All of Us Research Program and National COVID Cohort Collaborative. - Andrew Wen, Luke V. Rasmussen, Daniel J. Stone, Sijia Liu, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Yuan Luo, Fei Wang, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation. - Adam B. Wilcox, Noa Zamstein, Randi E. Foraker, Jason A. Thomas, Kenneth Wilkins, Jon D. Morrow:
Predicting COVID-19 Regional Case Loads with Synthetic Data. - David Wiljer, Gillian Strudwick, Rebecca Charow, Nelson Shen, Allison Crawford, Sanjeev Sockalingam, Peter Rossos:
Enabling Digital Compassion in a Technology-Enabled Healthcare Environment: a Modified eDelphi Study to Establish Professional Competencies and Health Information Technology Standards. - Alicia Williamson, Lindsay K. Brown, Tiffany C. Veinot, Denise L. Anthony:
Lesbian, Gay, and Bisexual Patient Perceptions of Collaborative Communication: Implications for Access to Health Information. - Adam Wright, Elise M. Russo, Arianna E. Nimocks, Jon G. Jackson, Jonathan P. Wanderer, Neal Patel, Kevin B. Johnson, Allison B. McCoy:
Improving Clinical Decision Support by Empowering Users: The Clickbusters Program. - Bing Xue, Neel Shah, Hanqing Yang, Charles Ziegenbein, Thomas George Kannampallil, Philip R. O. Payne, Chenyang Lu, Ahmed Sameh Said:
Multi-horizon prediction for extracorporeal support in COVID-19 patients. - Chao Yan, Steve Nyemba, Kelsey R. Mayo, Ziqi Zhang, Francis Ratsimbazafy, Bradley A. Malin:
Synthetic Data to Support Engineering and Demonstrations in the All of Us Research Program. - Yao Yan, Thomas Schaffter, Timothy Bergquist, Thomas Yu, Justin Prosser, Sean D. Mooney, Justin Guinney:
A Continuous Crowd-sourced Challenge for Benchmarking COVID-19 Health Outcome Prediction. - Lana Yeganova, Won Kim, Donald C. Comeau, W. John Wilbur, Zhiyong Lu:
Improving PubMed Retrieval by Integrating Abstract and Full Text Search. - Andrew L. Yin, Winston L. Guo, Evan Sholle, Mangala Rajan, Laura C. Pinheiro, Parag Goyal, Justin Choi, Mark N. Alshak, Han Li, Graham T. Wehmeyer, Mark G. Weiner, Monika M. Safford, Thomas R. Campion Jr., Curtis L. Cole:
Comparing Automated Extraction to Manual Chart Review for COVID-Specific Research Data Abstraction: A Case Study. - Zongliang Yue, Nishant Batra, Hui-Chen Hsu, John Mountz, Jake Y. Chen:
PAGER-CoV-Run: An online interactive analytical platform for COVID-19 functional genomic downstream analysis. - Fuad A. Zahra, Rohit J. Kate:
Clinical Term Embeddings from SNOMED CT. - Juan Zhao, Monika E. Grabowska, Wei-Qi Wei:
Early Detect COVID-19 Presenting Symptoms and Characteristics Using Natural Language Processing on Electronic Health Records. - Yiqing Zhao, Matthew Brush, Hongfang Liu, Robert R. Freimuth:
Modeling Variant Annotation (VA) Therapeutic Association Statements using a SEPIO-Based Workflow. - Andrew J. Zimolzak, Jessica A. Davila, Vamshi Punugoti, Katherine H. Sippel, Ashok Balasubramanyam, Paul Klotman, Laura A. Petersen, Ryan H. Rochat, Gloria Liao, Rory R. Laubscher, Lee Leiber, Christopher I. Amos:
Lessons Learned from an Enterprise-Wide Clinical Datathon. - Dani Zoorob, Yasmin Hasbini, Victoria Wangia-Anderson, Brian Miller, Debi Brobst:
The Role of eHealth Developers and Medical Professionals in Reducing Ageism and Geriatric Digital Exclusion.
Poster
- Meredith Abrams, Dongwen Wang:
Network Analyses on Hyperlinked Online Resources for COVID-19 Vaccine. - Karthik Adapa, Shiva K. Das, Prithima Reddy, Fei Yu, Carlton Moore, Lukasz Mazur:
Exploring the impact of perceived usability and cognitive workload on objective performance using supervised machine learning classifiers. - Ali S. Afshar, Yijun Li, Zixu Chen, Yuxuan Chen, Jae Lee, Darius Irani, Aidan Crank, Digvijay Singh, Michael H. Kanter, Nauder Faraday, Hadi Kharrazi:
Assessing Data Quality of Higher Frequency Time Series Vital Signs Captured in Intensive Care Units. - Bhavani Singh Agnikula Kshatriya, Nicolas A. Nunez, Manuel Gardea-Resendez, Euijung Ryu, Brandon J. Coombes, Sunyang Fu, Mark A. Frye, Joanna M. Biernacka, Yanshan Wang:
Detecting Major Depressive Disorder from Clinical Notes using Neural Language Models with Distant Supervision. - Toufeeq Ahmed:
Building a Self-Service Analytics Ecosystem for Program Data Sharing and Dashboards (NIH 'All of Us' Precision Medicine Initiative). - Jenny Alderden, Andrew Wilson, Sergey Krikov, Jonathan Dimas, Ryan Butcher, Tracey L. Yap:
Machine Learning for Predicting Hospital Acquired Pressure Injuries in ICU Patients: From Explainable AI to Ensemble Super Learners. - Alexander V. Alekseyenko, Bashir Hamidi, Stéphane M. Meystre:
Colonizing Microbiome as a Determinant of COVID-19 Outcome: A Pilot Study. - Katie S. Allen, Elizabeth C. Danielson, Sarah M. Downs, Olena Mazurenko, Julie DiIulio, Burke W. Mamlin, Christopher A. Harle:
Evaluating the Utility of a Prototype Clinical Decision Support Tool for Chronic Pain Treatment Choices in Primary Care. - Katie Allen, Daniel Hood, Jonathan Cummins, Suranga Nath Kasthurirathne, Peter J. Embí, Joshua R. Vest:
Extracting Social Variables from Clinical Documentation to Better Facilitate Response to Patient Need. - Joseline Amado, Yousef Latif, Mustafa I. Hussain:
Policy Alienation as a Source of HITECH Act-Related Burnout. - Shilo Anders, Laurie L. Novak, Nawshin Kutub, Carrie Reale, Daniel J. France, Christopher L. Simpson, Courtney A. Vanhouten, Karlis Draulis, Rubina F. Rizvi, Tiffani J. Bright, Gretchen P. Jackson, Anita M. Preininger:
Understanding the use of pharmacological knowledge bases in clinical care. - Adam L. Asare, Alejandra Jauregui, Andrew D. Robinson, Cal Collins, Mitra Rocca, Heidi M. Collins, Laura J. Esserman, Kathleen Liu:
COVID-19 Trial eSource Data Capture Efficiencies using OneSource. - Awais Ashfaq, Geoffrey M. Gray, Jennifer Carapellucci, Ernest Amankwah, Luis M. Ahumada, Mohamed A. Rehman, Michael Puchalski, Andrew Smith, James Quintessenza, Alfred Asante-Korang:
Impact of Coronavirus-2019 on Pediatric and Adult Heart Transplantation Waitlist Activity and Mortality in the United States: A Descriptive Approach. - Jonathan S. Austrian, Alex Low, Victoria Javier, Christine Wilkins:
Ensuring Covid patient end-of-life goals documented in an eMolst are honored through a novel and scalable health information exchange. - Amelia J. Averitt, Nilanjana Banerjee, Michael Cantor:
A Machine Learning Approach to Identify EHR-based Cohorts of Pain Sensitivity for Genetic Analysis. - Amelia J. Averitt, Deepika Sharma, Michael Cantor:
A Monte Carlo Estimation of the Narrow-Sense Heritability of COVID-19 Infection and Severity from AncestryDNA Survey Data. - Wejdan Bagais, Janusz Wojtusiak:
Dashboard for Machine Learning Models in Health Care. - Adarsha S. Bajracharya, Soussan Djamasbi, Gaayathri Sankar, Qiming Shi, Daniel J. Amante:
Use of Geomapping and Data-driven Personas to Target Intervention for At-risk Patients with Diabetes. - Christina Baker, Figaro Loresto:
Electronic Health Record Use for Improving Patient Outcomes for School-Aged Children with Chronic Conditions. - Gina Baker, Francine Sandrow, Katharine Miller, Jianji Yang, Darby McKnight, Natalie Ngu:
Planning Change Using the ADKAR Model: Establishing a Data Governance Program in the VHA Office of Community Care. - M. Katie Banasiewicz, Mark McEver, Douglas Conway, Alex C. Cheng, Colleen Lawrence, Leah Dunkel, Paul A. Harris, Stephany Duda:
Evaluating HL7 FHIR Resources for Sharing Research Consent Data. - Hana Bangash, Ahmed Makkawy, Justin H. Gundelach, Alexandra Miller, Aaron Leppin, Iftikhar J. Kullo:
Patient Perspectives on 'FH Family Share, ' a Tool to Increase Uptake of Cascade Testing for Familial Hypercholesterolemia. - Laura A. Barrett, Aiwen Xing, Elizabeth Steidley, Terrence J. Adam, Rui Zhang, Zhe He:
Assessing the Use of Prescription Drugs in Obese Respondents in the National Health and Nutrition Examination Survey. - Marily Barron, Matthew Zaragoza-Watkins, Melissa McPheeters, Samuel T. Rosenbloom:
Asthmatic Patient Portal Messaging and Pollution. - Vesna Resende Barros, Victor Akinwande, Itay Manes, Osnat Bar-Shira, Celia Cintas, Yishai Shimoni, Michal Rosen-Zvi:
Towards effect estimation of COVID-19 Non-pharmaceutical Interventions. - Mrigendra M. Bastola, Paul A. Fontelo:
Text Mining on COVID-19 Publications. - Joseph Beals IV, Jaime Barnes, Daniel Durand, Joan M. Rimar, Thomas Donohue, Mahfuz Hoq, Kathy Belk, Alpesh Amin, Michael Rothman:
A Mobile app to Stratify Deterioration Risk at Admission for COVID-19 Patients Using the Rothman Index. - Douglas S. Bell, Marianne Zachariah, Amanda L. Do, Carina V. Hampp, Karen Lopez, Michael A. Pfeffer:
A Process for Multi-Stakeholder Governance of Patient Data Releases. - Natalie C. Benda, Pascal S. Brandt, Jessica S. Ancker, Jennifer A. Pacheco, Prakash Adekkanattu, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen:
Supporting EHR-based Cohort Discovery Through User-centered Design: Results of an Early Formative Usability Study. - Ryzen Benson, Candace Winterton, Maci Winn, Mei Liu, Noor Abu-El-Rub, John F. Hurdle, Mike Conway, Andrew Gawron, Sheetal Hardikar:
Colorectal Polyp Extraction System (CoPEx): A Natural Language Processing Pipeline to Extract Colorectal Polyp Characteristics from Pathology Reports. - Ariana Bernstein, Jina Huh-Yoo, Andrea Forte:
Parent and Paraprofessional Use of Commercial Augmentative and Alternative Communication Devices with Non-verbal Autistic Young People. - Shwetha Bindhu, Anunita Nattam, Catherine Xu, Tiffany Grant, Hexuan Liu, Danny T. Y. Wu:
Understand the Role of Health Literacy in Relation to Social Determinants of Health: A Systematic Review. - James A. Black, Nayan Chaudhary, Adam J. Forys, Sriraman Madhavan, Matthew Secrest, Kamil Wais:
Case study in the development of a framework for quality and reproducibility in inner-sourced packages and self-service analytic dashboards to accelerate common study types. - Katherine Blondon:
Challenges in Designing A Notification System for Electronic Medical Records: an Exploration of User Expectations. - Katrina Boles, Malaika Gallimore, Chuka Emezue, Chelsea Howland, Amy Grimsley, Jo-Ana Chase, Allison Anbari, LeeAnne B. Sherwin, Blaine Reeder:
Comparing Performance of Hip-worn and Wrist-worn Research-Grade Activity Monitors for Daily Activities. - Gagana Borra, Joshua M. Landman, Randi E. Foraker:
Quantifying the Period Prevalence of Autoimmune Diseases Across the United States. - Kirill Borziak, Irena Parvanova, Joseph Finkelstein:
A comprehensive platform for induced pluripotent stem cell research data. - Annie E. Bowles, Hannah Eyre, Scott L. DuVall, Olga V. Patterson:
Challenges of comprehensive automatic coding of presenting complaints. - Aziz A. Boxwala, Mariano De Maio, Hank Wallace:
An Open-Source Engine for Decision Support and Workflow Automation. - Selen Bozkurt, Tina Hernandez-Boussard:
Expanding the secondary use of prostate cancer real world data: Automated Classifiers for Clinical and Pathological Stage. - Gregory T. Brown, Sudhir Sornapudi, Paul Fontelo:
Development of a multi-class deep-learning algorithm capable of diagnosing many histopathologic entities in digital pathology. - Katherine A. Brown, Hamish S. Fraser:
How accurate is the Isabel diagnostic decision support system with patients presenting with acute symptoms of heart disease? - Lusha Cao, Gerald P. Shaeffer, Meghan Galligan, Fuchiang R. Tsui, Robert W. Grundmeier, Vinay Nadkarni, Robert Sutton, Christopher P. Bonafide, Naveen Muthu:
Estimating Early Warning System Accuracy Prior to Implementation. - Heidi Carpenter, Jacqueline Antoun, Roman Gusdorf, Austin Triana, Elisa Friedman, Samuel T. Rosenbloom:
Strategies to Engage Traditionally Marginalized Patients in Patient Portal. - John R. Caskey, Fereshteh S. Bashiri, Anoop M. Mayampurath, Nicole Dussault, Jay Dumanian, Sivasubramanium V. Bhavani, Kyle A. Carey, Emily R. Gilbert, Christopher J. Winslow, Nirav S. Shah, Dana P. Edelson, Majid Afshar, Matthew M. Churpek:
Sepsis Prediction Using Semi-Supervised and Transfer Learning. - Arjun Chakraborty, Kevin Lybarger, Dustin Long, Vikas O. Shah, Meliha Yetisgen:
Automatic Detection of Surgical Site Infections Using EHR Data. - Justin G. Chambers, Tanya Podchiyska, Samson Tu, Amy Robinson, Susana B. Martins, Michael Ashcraft, Mary K. Goldstein:
A Generalizable and Scalable Distributed Processing Architecture for Guideline-Based Clinical Decision Support. - Rachita Chandra, Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Peter Szolovits:
emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset. - Shruthi Chari, Prithwish Chakraborty, Oshani Seneviratne, Mohamed F. Ghalwash, Daniel M. Gruen, Daby Sow, Deborah L. McGuinness:
Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology. - Qingyu Chen, Jingcheng Du, Alexis Allot, Zhiyong Lu:
AM2BERT: attention guided and regularized transformer-based multi-label classification model for COVID-19 literature curation. - Ya-Lin Chen, Hsuan-Chia Yang, Der-Ming Liou:
Localize the Implementation of FDA List of Confusable Drug Names with the Application of Taiwan National Health Insurance Database: A Study of Text Similarity Computation with Real-World Data. - Yu-Hsin Chen, Qiushi Chen, Lan Kong, Guodong Liu:
Early Prediction of Autism Spectrum Disorder Using Health Claims Data. - Alex C. Cheng, Mark McEver, Francesco Delacqua, Adam A. Lewis, Patrick Newman, Paul A. Harris:
Data Coordination for Multi-Site Clinical Trials Using the REDCap Application Programming Interface. - Benjamin Chisum, Kevin M. Johnson, James Ruesch, Patti Spencer, Pallavi RanadeKharkar:
eConsent Process Framework. - Hwayoung Cho, Gail M. Keenan, Olatunde O. Madandola, Fabiana C. Dos Santos, Tamara Goncalves Rezende Macieira, Ragnhildur I. Bjarnadottir, Karen Priola, Karen Dunn Lopez:
Usability of Clinical Decision Support System for Nursing Care Planning in Palliative Care: Heuristic Evaluation. - Insook Cho, MeeRa Song, So Yun Shim, So Young Dan:
A Qualitative Exploration of Nurses' Numeracy and Understanding of Predictive Models. - Sylvia Cho, Karthik Natarajan:
Designing a Data Quality Characterization Tool for Fitness Tracker Data. - Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy:
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. - Victor Cid, James G. Mork:
Using Deep Neural Network Binary Classifiers to Infer MeSH Publication Types. - Marshall Clark, Adam M. Lee, Emily R. Pfaff, Kristin Kostka, Matvey B. Palchuk, Lora Lingrey, Michele Morris, Robert T. Miller:
National COVID Cohort Collaborative (N3C) Case-control Buddies. - Zoe Co, Lisa P. Newmark, David C. Classen, Diane L. Seger, Melissa Danforth, Jessica M. Cole, David W. Bates:
Healthcare System Performance on Unsafe Medication Orders in the 2019 CPOE Evaluation Tool. - Wanting Cui, Joseph Finkelstein:
Comparative Analysis of Telemedicine Services Before and During Pandemic. - Ioana Danciu, Greeshma A. Agasthya, Janet P. Tate, Amy C. Justice, Benjamin H. McMahon, Olga Ovchinnikova:
Machine Learning for Time to Event Biomedical Research. - Sharon E. Davis, Praveen Kumar, Nicolas R. Lauve, Sharidan K. Parr, Daniel Park, Michael E. Matheny, Gerardo Villarreal, George Uhl, Yiliang Zhu, Mauricio Tohen, Douglas J. Perkins, Christophe G. Lambert:
Disparities in Coded and Imputed Post-Traumatic Stress Disorder and Self-Harm Among US Veterans. - John Del Gaizo, Garett Hayes, Jihad S. Obeid:
An AI Model to Screen for the Novel Coronavirus in Emergency Department Clinical Notes. - Michael Denton, Tosh Kartchner, Jonathan Herbert, Dean Woolstenhulme:
Leveraging Ontologies for the Aggregation of Normalized Pharmacy Content. - Brian J. Douthit, Guilherme Del Fiol, Chloe Canon, Jessica Branski, Titus K. Schleyer, Rachel L. Richesson:
Assessing the Use of HL7® FHIR® Among Healthcare Apps. - Heba Edrees, Diane L. Seger, Ying-Chih Lo, David W. Bates, Li Zhou:
Development of a Drug Allergy Alert Tiering Algorithm for Penicillins and Cephalosporins. - Roua El Kalach, Lori Moore, Ulrica Andujar:
Keys to a Successful Public Health Information System Implementation: Experience with COVID-19 Vaccine Ordering System Development and Implementation Across the United States. - Sarah El-Azab, Siu Hui, Heidi Hosler, Katie Allen:
Race and Ethnicity Agreement Between Medicaid, Health Information Exchange, and Electronic Health Records. - Chuka Emezue, Chelsea Howland, Malaika Gallimore, Katrina Boles, Amy Grimsley, LeeAnne B. Sherwin, Allison Anbari, Jo-Ana Chase, Blaine Reeder:
Usability and Accuracy Evaluation of the Fitbit Versa 3 Smart Watch Compared to Research-Grade Devices. - Emilia Farcas, Michael Hogarth, Alison A. Moore:
Observations on Documentation of Alcohol Use in Real-World Data. - Annika B. Faucon, Megan Shuey, Lea K. Davis, Nancy J. Cox:
Implications of Clinical Bias When Building Electronic Algorithms for Medical Record Phenotyping: Lessons from Type 2 Diabetes Mellitus. - Robert J. Fawcett, Ahmad S. Halwani, Kyle R. Hansen, Vikas V. Patil, Kelli M. Rasmussen, Daphne Friedman, Andrew Post:
Cohort Discovery with Unified Medical Language System Query Expansion. - Ricky Flores, Ellen K. Kerns, Russell J. McCulloh, Aubree C. Honcoop, Martina A. Clarke:
School District COVID-19 Response Policies Across Demographics. - Samah J. Fodeh, Sabrina Su, Aarthi Venkat, Lisa B. Puglisi:
COVID-19 concerns and interests differ with socioeconomic status: Twitter Analysis. - Stephanie O. Frisch, Zeineb Bouzid, Jessica Zegre-Hemsey, Holli DeVon, Harry Hochheiser, Ervin Sejdic:
Symptom clustering of patients with suspected acute cornary syndrome at emergency department triage. - Rodney A. Gabriel, Bhavya Harjai:
A Machine Learning Approach to Predicting Time Needed for Outpatient Surgery and Patient Recovery at a Freestanding Ambulatory Surgery Center. - Cheng Gao, Bradley A. Malin, You Chen:
Telehealth Uptake and Continuing Usage During the COVID-19 Pandemic. - Grace Gao, Christie L. Martin, Michelle Wang, Matthew D. Byrne, Joyce Brettner:
Leveraging Assets-Oriented, Data-Driven Approaches in Global Health Informatics Curricula. - Sean S. Garcia, Vera L. Taylor, Michael W. Mickan, Sandy Kyriakos, Nnaemeka G. Okafor:
Application of a Pharmacy Alert Management Program to Reduce Nuisance Medication Clinical Decision Support Alerts. - Lynn A. Garvin, Emily Leonard, Linda Am, Timothy P. Hogan, Stephanie L. Shimada:
Patient-Centered Care Practices in Secure Messaging: Qualitative Analysis of Interviews with VHA Primary Care Teams. - Mohamed F. Ghalwash, Prithwish Chakraborty, Akira Koseki, Hiroki Yanagisawa, Toshiya Iwamori, Ray Tokumasu, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki, Michiharu Kudo, Daby Sow:
A Comparative Time-to-Event Analysis Across Health Systems. - Denise Goldsmith, Sara Flash, Jim Holdnack, Patricia F. Brennan:
Utilizing Advanced Visualization Technology to Study Home Care Challenges. - Hope G. Gray, Mohanraj Thirumalai, Wayne H. Liang, James J. Cimino, Sue S. Feldman:
Self-Reported Symptoms for COVID-19 Public Health Surveillance: A Window to Social Determinants of Health. - Ashley C. Griffin, Stacy Bailey, Saif Khairat, Yue Wang, Jaime Arguello, Arlene E. Chung:
Design, Development, and Usability of a Hypertension Medication Self-Management Conversational Agent (Medicagent). - Amy Grimsley, Katrina Boles, Chelsea Howland, Chuka Emezue, Malaika Gallimore, LeeAnne B. Sherwin, Jo-Ana Chase, Blaine Reeder, Allison Anbari:
Digital Methodology for Mobile Clinical Decision Support Development. - Jia-Wen Guo, Katherine A. Sward, Ann M. Lyons, Susan L. Beck, Gary W. Donaldson, Wendy W. Chapman, Lewis J. Frey:
Impact of Comorbidity Profiles on Pain Trajectories in Breast Cancer Patients by Using Electronic Health Record Data. - Yawen Guo, Xiao Liu, Anjana Susarla, Rema Padman:
YouTube Video Analytics for COVID-19 Literacy. - Deepak K. Gupta, Massimo Marano, Raj Aurora, James Boyd, Satya S. Sahoo:
Parkinson and movement disorders ontology for clinically-oriented and clinicians-driven data mining of multi-center cohorts in Parkinson's disease. - Saira N. Haque, Alison Banger, Sydney DeStephano, Regina Rutledge, Melissa Romaire:
A Mixed-Methods Evaluation of Telehealth Adoption in Frontier Critical Access Hospitals. - Jonathan J. Harris, Deborah L. McGuinness, Marco Monti, Oshani Seneviratne, Mohammed J. Zaki, Ching-Hua Chen:
Enhancing Clinical Relevance of Health Behavior Insights via Semantics. - Paul A. Harris, Robert J. Taylor, Vaishali Jagtap, Douglas Conway, Stephany Duda, Alex C. Cheng:
Promoting Use of Common Data Elements in Research Studies. - Huan He, Liwei Wang, Andrew Wen, Ming Huang, Yanshan Wang, Hongfang Liu:
COVID-19 Dashboard: Visual Exploration of the Regional Pandemic Trend. - Paul M. Heider, Stéphane M. Meystre:
Overview and Descriptive Analysis of a New Ontology for Normalizing Section Types in Unstructured Clinical Notes. - Paul M. Heider, Stéphane M. Meystre:
Evaluating the Downstream Performance Impact of Various Common Off-the-Shelf Clinical NLP Components. - Darren W. Henderson, Malini S. Kirakodu, James R. Aaron, Tamela J. Harper, Daniel R. Harris, Jeffery C. Talbert, Luciana M. Shaddox:
Integrating Medical and Dental Histories for Translational Science. - Raquel G. Hernandez, Paola B. Dees, Joann C. Derosa, Fiorella Gonzalez, Christine Hammerschmidt, John Morrison, Benton Ng, Ashish B. Shah, Luis M. Ahumada:
Development of a Health Equity Integration Dashboard (HEID) using Race Ethnicity and Language (REaL) Data in a Pediatric Hospital Setting: Lessons Learned in Visual Strategies and Key Data Elements. - Amanda Higgins, Shannon O'Keefe, Bryant Thomas Karras:
Expanding Exposure Notification Verification Code Issuance in WA State. - Mollie Hobensack, Jiyoun Song, Maryam Zolnoori, Marietta Ojo, Kathryn H. Bowles, Sena Chae, Erin E. Kennedy, Margaret V. McDonald, Maxim Topaz:
Identifying Narrative Documentation of Clinician Concern about Patient Deterioration in Home Healthcare: A Text Mining Study. - A Jay Holmgren, David W. Bates:
The Impact of Quality Feedback and Reporting on Hospital EHR Medication Safety Improvement. - Megan A. Holsopple, Kyle Campbell, Anna Baer, Mihir Parikh:
Validating the Value and the Usability of Real-Time Prescription Benefit Data. - Bernard M. Hsia, Diana J. Schreier, Benjamin J. Anderson, Jenna K. Lovely:
Evaluation of the Effectiveness of an Opioid Reversal Alert at an Academic Medical Center. - Allen Hsiao, Lisa Stump, Nitu Kashyap:
COVID-19-Catalyzed and Informatics-Driven Evolution to a Learning Health System. - Kanglin Hsieh, Xiaoqian Jiang, Yejin Kim, Yu-Chun Hsu:
The Combination of Graph Neuron Network and Multi-Task Learning Model for Cancer Drug Combination Prediction. - Ming Huang, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Nansu Zong, Yue Yu, Julie E. Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Chyke Doubeni, Jungwei Fan, Hongfang Liu, Christi A. Patten:
Disparity analysis of patient portal messaging use for COVID-19 in urban versus rural locality. - Michael S. Icardi, Larry Mole, Mark Holodniy:
Addition of auditable testing rational provides real-time information on hospital practice patterns. - Onimi Jademi, Abir Rahman, Günes Koru:
Challenges and Opportunities of Information Technology Adoption by the Caregivers of Home Care Patients. - Robert A. Jenders:
Utility of the Observational Medical Outcomes Partnership Common Data Model for Representation of Non-Query Data Mappings in the Arden Syntax. - Eugene Jeong, Anna K. Person, Joanna L. Stollings, Lang Li, You Chen:
Discovering Drug-Drug Interactions in COVID-19 Patients. - Chao Jiang
, Victoria Ngo, Richard Chapman, Hongfang Liu, Guoqian Jiang, Nansu Zong:
Automatic Construction of Biomedical Knowledge Graph from Covid-19 Literature. - Xia Jing, Hua Min, Yang Gong, James J. Cimino, David Robinson, Dean F. Sittig, Paul G. Biondich, Adam Wright, Christian Nøhr, Tim Law, Arild Faxvaag, Akash Indani, Nina C. Hubig, Ronald W. Gimbel, Lior Rennert:
A clinical decision support system (CDSS) ontology to facilitate portable vaccination CDSS rules: preliminary results. - Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran:
Patient-Specific Modeling with Lazy Random Forest (LazyRF). - Michelle E. Johnson, Fei Yu:
Clinical Research Coordinators' Perceptions of Electronic Data Capture Systems Adopted in Clinical Research. - Venkata Joopudi, Ananya Poddar, Bharath Dandala, Ching-Huei Tsou:
Exploring Effectiveness of Domain and Task-Adaptive Pretraining for Clinical Information Extraction. - Tina Kaing, George Karway, Julia Ivanova, Anita C. Murcko, Michael Franczak, Mary Jo Whitfield, Adela Grando:
Perceptions on Granular Data Sharing in Behavioral Health Populations. - Mohammad Karim, Hye-Chung Kum, Cason D. Schmit:
Systematic Study of Publicly Available Resources Addressing Legal Data Sharing Issues. - Sentayehu Kassa, Brett Moran:
Expanding Access and Continuity of care during COVID Crisis, in Safety Net Hospital Sentayehu Kassa, MD, Brett Moran, MD Parkland Health & Hospital System Dallas, TX. - Navchetan Kaur, Boris Oskotsky, Atul J. Butte, Zicheng Hu:
Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients. - Mirza S. Khan, Kaiwen Xu, Stephen A. Deppen, Kim L. Sandler, Bennett A. Landman:
Image-based Phenotyping for Risk Stratification in the National Lung Screening Trial. - Sundas Khan, Isabel Barata, Dana Kaplan, Safiya Richardson, Francesca Bullaro, Sera Levy, Fatima Malik, Thomas G. McGinn, Emily Heineman, Rachel P. Berger:
Dissemination and Implementation of a Child Abuse Clinical Decision Support System. - Ellen Kim, Charles Morris, Michael Klompas, Haipeng (Mark) Zhang, Adam B. Landman, Sunil Eappen, Hojjat Salmasian:
COVID-19 screening system utilizing daily symptom attestation helps identify hospital employees who should be tested to protect patients and co-workers. - Min Soon Kim, Ploypun Narindrarangkura, Suzanne A. Boren, Uzma Z. Khan, Eduardo J. Simões:
Information Needs Analysis of Diabetes Self-Management Education and Support for Older People with Diabetes. - Chris Kitchen, Hsien-Yen Chang, Jonathan P. Weiner, Hadi Kharrazi:
Assessing Added Value of Vital Signs Extracted from Electronic Health Records in the Performance of Healthcare Risk Adjustment Models. - Jeffrey G. Klann, Griffin M. Weber, Emma Perez, William Yuan, Gabriel A. Brat, Shawn N. Murphy:
Combining Chart Review and Hospital System Dynamics for Electronic Health Record Phenotyping in an International COVID-19 Research Network. - Sheryl A. Kluberg, Thomas Carton, Charles Bailey, Julia A. Fearrington, Keith Marsolo, Kshema M. Nagavedu, Jon Puro, Jason P. Block:
U.S. COVID-19 Surveillance in PCORnet®. - Boyd M. Knosp, Catherine K. Craven, David A. Dorr, Elmer V. Bernstam, Thomas R. Campion Jr.:
Understanding Enterprise Data Warehouses to Support Clinical and Translational Research: Initial Findings on Enterprise Information Technology Relationships, Data Governance, Workforce, and Cloud Computing. - Peter Krautscheid, Kathy Mikk, Mario Terán, Edwin A. Lomotan:
Building with CEDAR and Making Evidence More FAIR. - Andre Kumar, Rachael C. Aikens, Jason Horn, Lisa Shieh, Mark A. Musen, Michael Baiocchi, Russ B. Altman, Mary K. Goldstein, Steven M. Asch, Jonathan H. Chen:
Randomized user testing of recommender system clinical decision support. - Sahithi Lakamana, Abeed Sarker:
Tracking the COVID-19 outbreak in India via Twitter. - Heather D. Lanier, Sameh N. Saleh, Christoph U. Lehmann, Richard J. Medford:
COVID Deniers: Analyzing #Scamdemic and #Plandemic Tweets. - Wilson Lau, David Wayne, Spencer Lewis, Özlem Uzuner, Martin L. Gunn, Meliha Yetisgen:
A New Corpus for Clinical Findings in Radiology Reports. - Adam M. Lee, Marshall Clark, Sofia Z. Dard, Kellie M. Walters:
Evolving the PCORnet data pipeline for National COVID Cohort Collaborative (N3C). - Katherine Lee, Colin G. Walsh:
Predictive Modeling of Healthcare Utilization Metrics Identifies Adult Patients at High Risk for Suicide Attempt in the Primary Care Setting. - Rachel Y. Lee, Sarah Collins Rossetti, Jonathan Elias, Amanda J. Moy, Eugene Lucas, Jessica M. Schwartz, Erika L. Abramson, Jessica S. Ancker, Susan B. Bostwick, Kenrick Cato:
Assessing Clinical Staff Usability & Satisfaction Before and After an Electronic Health Records Implementation Using Health-ITUES. - Lauren A. Lepow, Braja Gopal Patra, Isotta Landi, Prakash Adekkanattu, Jyotishman Pathak, Mark Olfson, J. John Mann, Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Priya Wickramaratne, Myrna Weissman, Benjamin S. Glicksberg, Alexander Charney:
Extracting Social Isolation Information From Psychiatric Notes in the Electronic Health Records. - McKenna Lewis, Niema Moshiri, Kit Curtius:
MethylDrift: A Software Package for Calculating Age-related Epigenetic Drift in Human Tissues Using DNA Methylation Data. - Zhiguo Li, Chandramouli Maduri, Ching-Hua Chen:
Contextual Predictors of Medication Persistence for Patients on Oral Hypoglycemic Drugs. - Jennifer J. Liang, Diwakar Mahajan:
An Exploration of Reasons Behind Drug De-escalation and Discontinuation Events in Clinical Notes. - Zhaohui Liang, Jimmy X. Huang:
Cycle-Consistent Adversarial Network with Criterion for COVID-19 Chest X-ray Image Generation. - Zachary C. Liao, Michelle Stoffel, Michael G. Leu, J. P. Giliberto, Justin Birge, Laura Higdon, Angad P. Singh:
Proactive Documentation Design to Meet Needs Now and Later. - Veena Lingam, Victor Garcia, Chao-Wei Tsai, Jacob T. Wooldridge, Rachel Wong:
Integrating Gaming into Virtual Medication Reconciliation Education. - Joe Lintz:
Adoption of Telemedicine During the COVID-19 Pandemic: Perspectives of Primary Healthcare Providers. - Kirill Lipatov, Quan T. Do, Bradley Erickson, Brian W. Pickering, Vitaly Herasevich:
Binary and Categorical Models for automatic Acute Respiratory Distress Syndrome Detection. - Guanghui Liu:
Survival Analysis of Breast Cancer from DNA Methylation Data. - Xiao Liu, Anjana Susarla, Rema Padman:
YouTube Health Video Analytics: A Human Augmented Understandability Assessment for Patient Education. - Brian Lo, Jenny Shi, Howard W. Wong, Alexxa Abi-Jaoudé, Elisa Hollenberg, Andrew Johnson, David Wiljer:
Engaging the disengaged: recommendations for partnering with transitional aged youth to improve mental health help-seeking in the digital age. - Jack W. London, Elnara Fazio-Eynullayeva, Matvey B. Palchuk, Peter J. Sankey, Christopher McNair:
Monitoring the Effects of the Pandemic on Cancer-Related Patient Encounters. - Steven D. London, Paul Fontelo, Shadokht Boroumand, Bruce A. Dye:
Oral-HPV Screening Tool for Assessing Individuals at Risk for HPV-associated Oropharyngeal Cancer. - Chris J. Lu, Amanda Payne, James G. Mork:
Identifying Criteria for Antonym Generation from Collocates in Corpora. - Kevin Lybarger, Erica Qiao, Meliha Yetisgen:
An exploration of information extraction models on transcribed patient visits. - Meng Ma, Kyeryoung Lee, Yun Mai, Chris Gilman, Zongzhi Liu, Mingwei Zhang, Minghao Li, Arielle Redfern, Tommy Mullaney, Tony Prentice, Paul McDonagh, Qi Pan, William Oh, Rong Chen, Eric E. Schadt, Xiaoyan Wang:
The Real-World Trend Analysis of Cancer Drugs Empowered by Natural Language Processing. - Diwakar Mahajan, Jennifer J. Liang, Ananya Poddar, Sasha Ballen, Ching-Huei Tsou:
Evaluating Social Determinants of Health in Clinical Communications Data. - Andrea N. Mahnke:
COVID-19 as a Catalyst: Rapid Development of Usable Digital Patient Services. - Mark V. Mai, Naveen Muthu, Bryn Carroll, Anna Costello, Dan West, Adam C. Dziorny:
Quantifying Changes in Resident-Patient Interactions During the COVID-19 Pandemic Using EHR Audit Logs. - Sabrina Mangal, Leslie Park, Meghan Reading Turchioe, Lisa Grossman Liu, Annie C. Myers, Brittany N. Taylor, Parag Goyal, Lydia Dugdale, Ruth Masterson Creber:
Public Perspectives on the Ethical Collection and Sharing of Consumer-Generated Health Information. - Sara R. Marceglia, Vania Manzelli, Pierluigi D'Antrassi, Alfredo Cuzzocrea, Annamaria Caruso, Marco Prenassi, Chiara Savino, Maria Teresa De Pippo, Stefano Lenzi, Roberta Ferrucci, Costanza Conti, Giulia Candiani, Francesca Memini, Elda Judica, Massimo Corbo, Marianna Masiero, Gabriella Pravettoni:
PainRE-Life: A FHIR Based HUB for the management and support of patients with chronic pain. - Adriano Martinelli, Aditya Kashyap, Anna Fomitcheva Khartchenko, Govind V. Kaigala, Maria Anna Rapsomaniki:
Quantifying Spatial Tumor Heterogeneity Using Single-Cell Proteomics. - Apoorva Maru, Gwen C. Jacobsohn, Collin Engstrom, Frank Liao, Margaret Leaf, Joel Galang, Gerald T. Pankratz, Alexis Eastman, Maureen A. Smith, Manish N. Shah, Brian W. Patterson:
Implementation of a Clinical Decision Support System for Automated Fall-Risk Identification and Referrals in Emergency Departments. - Jayson S. Marwaha, Elizabeth Eldridge, Sahr Syed, Perry L. Mar, Philip Ballentine, Denis Agniel, Nathan P. Palmer, Sadiqa Mahmood, Gabriel A. Brat:
There is Variability in the Accuracy of Diagnosis Codes Used to Identify COVID-19 Patients. - Craig S. Mayer, Nick Williams, Vojtech Huser:
Analyzing COVID-19 Case Report Forms Data from the All of Us Program. - Terika McCall:
Barriers to Seeking Treatment and Attitudes Towards Using Telehealth to Support Management of Depression Among Black Women. - Nadine McCleary, Ellana Haakenstad, Sunyi Zhang, Jessica L. Cleveland, Michael Manni, Deborah Schrag, Michael J. Hassett:
Addressing the Social Determinants of Health and Resource Utilization Among Ambulatory Oncology Patients. - Allison B. McCoy, Ryan Hsi:
Electronic Health Record-Based Risk Stratification for Recurrence of Kidney Stones: A Feasibility Implementation. - Allison B. McCoy, Adam Wright:
Approaches to Clinical Decision Support Alert Evaluation and Optimization. - Samuel A. McDonald, Mujeeb A. Basit, Seth M. Toomay, Christopher McLarty, Susan Hernandez, Chris Rubio, Bruce J. Brown, Mark Rauschuber, Ki Lai, Sameh N. Saleh, DuWayne L. Willett, Christoph U. Lehmann, Richard J. Medford:
Rolling up the Sleeve: Equitable, Efficient, and Safe COVID-19 Mass-Immunization for Academic Medical Center Employees. - Scott P. McGrath, Cynthia G. Matsumoto, David Lindeman, Katherine K. Kim:
Design and Feasibility of a Digital Health Platform for Rural California in Response to COVID-19. - Stéphane M. Meystre, Paul M. Heider, Jihad S. Obeid, Alexander V. Alekseyenko, James E. Madory:
Natural Language Processing and COVID-19 Predictive Analytics to Enable and Optimize SARS-CoV-2 Pooled Testing. - Chelsea L. Michael, Gilad J. Kuperman:
Transparency with Safeguards: Suppressing Notes from a Patient Portal. - Andrea Millman, Jie Huang, Yazan Nagi, Judy Shan, Anjali Gopalan, Emilie Muelly, Catherine Lee, Loretta Hsueh, Ilana Graetz, Nayana Bhaskar, Mary Reed:
Patient-Reported Visit Modality Preferences During a Pandemic. - Azadeh Mobasher, Naqi Khan, David Elop, Zach Griffin, Naveen Valluri:
Automated Clinical Shift Schedule Generation for Emergent Care Settings. - Iman Mohammadi, Zulkarnain Pulungan, Nathan Markward:
Linking U.S. Administrative Claims Data and Electronic Health Records to Describe Association Between Ambulatory Care Appointment No-Show and Healthcare Resource Use and Cost. - Sungrim Moon, Huan He, Jungwei Fan:
Development of a Clinical Question-Answering Corpus with Realistic Multi-Answer Challenges. - Evan Morgan, Shonda Vink, Pallavi Jonnalagadda, Priti Singh, Naleef Fareed:
Characterizing Outpatient Portal Use among Women Receiving Obstetric and High-risk Pregnancy Care. - Amanda J. Moy, Kenrick Cato, Christopher Knaplund, Patricia C. Dykes, Min-Jeoung Kang, Graham Lowenthal, Sarah Collins Rossetti:
Assessing CONCERN: Analysis of Application Log Files to Investigate the Utilization of a Clinical Decision Support Tool for Identifying Risky Patients. - Charles Mueller, Johnna Beane, Tsan-Yao Huang, Thomas Bias, Jennifer A. Mallow:
An Example of Leveraging State Claims Data to Evaluate COVID-19 Policy Changes Regarding Substance Abuse Disorder/Opioid Use Disorder Programs. - Anoop Muniyappa, Colin Purmal, Jennifer Corbell, Susan Chim, Kendall Gross, Amy Kangwakij, Katie O'Connor, Kathleen Burke, Andrew Auerbach:
Incorporating Health Equity into the Evaluation of Health Informatics Electronic Health Record Tickets: Design and Initial Findings. - Annie C. Myers, Meghan Reading Turchioe, Sabrina Mangal, Leslie Park, Lisa Grossman Liu, Ruth Masterson Creber:
Addressing Challenges and Strategies for Virtual Recruitment for Longitudinal Studies. - Ploypun Narindrarangkura, Qing Ye, Suzanne A. Boren, Uzma Z. Khan, Eduardo C. Simões, Min Kim:
Developing Framework for Healthy Coping Feedback Messages Evaluation from Diabetes Mobile Apps. - Divya Natesan, Samantha Thomas, Eric Eisenstein, Neville C. W. Eclov, Nicole Dalal, Sarah J. Stephens, Mary Malicki, Stacey Shields, Alyssa Cobb, Yvonne M. Mowery, Donna Niedzwiecki, Jessica D. Tenenbaum, Manisha Palta, Julian C. Hong:
Machine Learning Implementation Results in Reduced Variable Cost of Acute Care Visits During Radiotherapy: SHIELD-RT Cost Analysis. - Denis R. Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
Diachronic Analysis of the Evolution of COVID-19 Scientific Literature. - Phuong Nguyen, Hyung Wook Choi, Melody K. Schiaffino, Zhan Zhang, Jina Huh-Yoo:
Qualitative Coding Framework for Analyzing Alert Notes from the Telehealth Intervention Program for Seniors (TIPS). - Congning Ni, Jonathan Hughes, Andrew Nam, Zhijun Yin:
Identifying Posts from Reddit Talking About ADRD Caring Experiences Using Machine Learning. - Arianna E. Nimocks, Bryan D. Steitz, Adam Wright:
Evaluating the Scope of Collaboration Among Primary Care Teams through Electronic Asynchronous Communication. - Anna Northrop, Michelle Melisko, Garry Peterson, Laura Sit, Anika Christofferson, Ebunoluwa Olunuga, Ananya Mittal, Adi Goldman, Ronak Ahir, Mitra Rocca, Lisa Weiss, Elizabeth Prager, Cal Collins, James Palazzolo, Laura J. Esserman, Adam L. Asare, Amrita Basu:
Transforming Data Capture for Clinical Care and Research: ePRO Adverse Event Reporting and Quality of Life in a Phase 2 Breast Cancer Study. - Hyunkyoung Oh, Min Sook Park, Youngjoo Cho:
Consumer perception of smart speaker-based mHealth tool. - John D. Osborne, Tobias O'Leary, Abdullateef I. Almudaifer, Whitney L. Covington, Caleb M. Carroll, Ellen F. Eaton, Rachel A. Lee, Sue S. Feldman, Lauren Walter:
Towards Identification of Opiate Use Disorder in Clinical Text. - Soheb Osmani, Katherine L. Dauber-Decker, Sundas Khan, Sera Levy, Jennifer Itty, Thomas G. McGinn, Jan Horsky, Yalini Senathirajah:
Usability Testing of MedWISER3: A Novel, Card-Based Electronic Health Record Interface. - Yennuten Paarima, Po-Yin Yen:
Methodologies of nursing workflow studies: A scoping review. - Courtney Page, Conrad Sweitek, Cliona Molony, Karen Chandross, Benjamin Alan Goldstein:
Comparison of a patient cohort and predictive models derived from local academic medical centers versus a national health database. - Vanessa Panaite, Dezon Finch, Andrew R. Devendorf, Lina Bouayad, Stephen L. Luther, Susan K. Schultz:
Applying NLP to extract clinician recorded affect to advance depression clinical research: A proof of concept. - Jung In Park:
Predicting Breast Cancer Treatment Outcomes for Minority Women in California Using Machine Learning. - Leslie Park, Sabrina Mangal, Meghan Reading Turchioe, Annie C. Myers, Brittany N. Taylor, Ruth Masterson Creber:
Technology and Data Sharing Preferences in mHealth Research Interventions. - Yoonyoung Park, Frank Yoon, William Kassler:
Assessing the Predictive and Ecologic Validity of Geographic Indices for Social Determinants of Health. - Mark A. Parkulo, Windell Smith, Williams Luanne, Jason Buckmeier, Marites Sayo, Jodi Rinken, John C. O'Horo:
Use of a Widely Available Electronic Health Record to Facilitate COVID-19 Vaccinations. - Irena Parvanova, Joseph Finkelstein:
Core Outcomes Sets Development in COVID-19 Clinical Trials. - Amila M. Patel, Lalan S. Wilfong, Ethan M. Basch, Angela Stover, Max Franklin, Ben Pearson, Debra A. Patt:
Optimizing Clinician Alerts for Concerning Symptoms in an Electronic Patient-Reported Outcomes (ePRO) System in Community Oncology. - Olga V. Patterson, Hannah Eyre, Kelly S. Peterson, Scott L. DuVall:
From Emergency Department to Admission: mapping reasons for visit and admit diagnosis using Natural Language Processing. - Shaobo Pei, Gopi Penmetsa, Brian Sauer, Bingjian Feng, Kevin Douglas, Jerry Clewell, Jodi Walker, Jessica Walsh:
Identifying erosive disease from radiology reports of veterans with inflammatory arthritis using natural language processing. - John K. Pennington, Nicholas Timkovich, Bunyamin Ozaydin:
Modernization of the Intermacs Data Warehouse: Moving Data Management from SAS to SQL Server for Analytics. - Eddie Pérez Claudio, Shyam Visweswaran, Harry Hochheiser:
Comparison of Population-wide Explanations for Predicting the Outcomes of Patients with Community-Acquired Pneumonia. - Anh Pham, Robert El-Kareh, Lucila Ohno-Machado, Tsung-Ting Kuo:
Early Prediction of Positive Clostridioides Difficile Test Results. - Scott Phillips, Xiaojun Xu, Paulina Paul, Wenhong Zhu, Mike Hogarth, Olivier Harismendy:
Integrating Molecular and Clinical Data for Real World Evidence Research in Precision Oncology. - Anthony T. Pho, Suzanne Bakken, Mitchell R. Lunn, Micah Lubensky, Annesa Flentje, Zubin Dastur, Juno Obedin-Maliver:
Online health information seeking, health literacy, and human papillomavirus vaccination among transgender and gender diverse people. - Ananya Poddar, Venkata Joopudi, Bharath Dandala, Ching-Huei Tsou:
Leveraging Transformer-based Sequential Sentence Models for Clinical Information Extraction. - Anita M. Preininger, Fernando J. Suarez Saiz, Jaimie Gorman, Brian Gibbemeyer, Gretchen P. Jackson:
A Return to Workplace Health Advisor Implementing Public Health Guidance for Safe Re-Opening During a Pandemic. - Marco Prenassi, Roberto Prandin, Viviana Paolini, Annamaria Caruso, Sara R. Marceglia:
Mining for parameters in literature: the case of defining electrical stimulation protocols. - Avery Pullman, Mica R. Curtin-Bowen, Ania Syrowatka, Alexandra C. Businger, Michael Sainlaire, Stuart R. Lipsitz, Tien Thai, Troy Li, David W. Bates, Patricia C. Dykes:
Multi-Site Testing of a Prolonged Opioid Prescribing Electronic Clinical Quality Measure Following Elective Primary Total Hip and/or Total Knee Arthroplasties. - Raghuveer Puttagunta, Spencer Tavares, Shikha Sinha, Leyla B. Warsame, Heather L. Marney, Bruce Levy:
A Demonstration-Practice Based Electronic Health Record Efficiency Training for Residents and Fellows at a Large Multisite Healthcare System. - Simona Rabinovici-Cohen, Xosé M. Fernández, Beatriz Grandal Rejo, Efrat Hexter, Oliver Hijano Cubelos, Juha Pajula, Harri Pölönen, Fabien Reyal, Michal Rosen-Zvi:
Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy. - Protiva Rahman, Daniel Fabbri:
Automatic Data Curation from Unstructured Text. - Ivan Rahmatullah, Andrea L. Hartzler:
Primary Care Providers' Needs for Usable Clinical Prediction Rule Presentations. - Sritha Rajupet, Rachel Wong, Donna Moller, Lisa Maldonado, Tricia Weiss, Tahsin M. Kurç, Janos G. Hajagos, Hasit Shah, Mary M. Saltz, Joel H. Saltz, Veena Lingam:
Informatics to Power Post-COVID Care: A Framework for Patient Care and Secondary Data Use. - Pavani Rangachari, Swapandeep S. Mushiana, Krista Herbert:
Factors Historically Influencing Telehealth Use in Six Medical Specialties: A Systematic Review and Narrative Synthesis. - Laila Rasmy, Bijun S. Kannadath, Masayuki Nigo, Ziqian Xie, Bingyu Mao, Khush A. Patel, Yujia Zhou, Xiao Dong, Hua Xu, Degui Zhi:
Generalizable Gated Recurrent Neural Network based model to predict COVID-19 patient outcomes on admission. - Meghan Reading Turchioe, Alexander Volodarskiy, Jessica S. Ancker, Joshua Vapnik, Sushant Sunkaraneni, David Slotwiner:
Cardiac patients' and healthcare providers' telehealth experiences during the COVID-19 pandemic in Queens, New York. - Greg Rehwoldt, Raja Arul Cholan, Andrew K. Sills, I Khalil Appleton, Timothy Williams, Natalie M. Scott, Gregory Pappas:
Piloting FDA SHIELD's LOINC to In Vitro Diagnostic (LIVD) Specification in Five Medical Centers: Implications for Interoperability. - Nick Reid, Kathleen J. Ramos, Mara R. Hobler, Lauren E. Bartlett, Siddartha G. Kapnadak, Andrea L. Hartzler:
Usability Study of a Decision Support Website to Support People Living with Cystic Fibrosis in Shared Decision Making about Lung Transplant. - Lauryn Remmers, Edward Kalpas, Priya Radhakrishnan, Anita C. Murcko:
Relationship Between Social Determinants of Health and Total Joint Arthroplasty Complications. - Melissa P. Resnick, Frank LeHouillier, Steven H. Brown, Keith E. Campbell, Diane Montella, Peter L. Elkin:
An Evaluation of Solor and ANF Assignment to HL7 Knowledge Artifacts using High Definition Natural Language Processing. - Tera L. Reynolds, Meghna Kaligotla, Kai Zheng:
Are Smartphone-based Interconnected Personal Health Records Achieving Their Promise? - Irbaz Bin Riaz, Huan He, Syed Arsalan Ahmed Naqvi, Rabbia Siddiqi, Noureen Asghar, Mohammad Hassan Murad, Hongfang Liu:
An Interactive Data Extraction System to Create the Living Systematic Reviews and Meta-Analysis. - Adam Rich, Camille Whicker, Phung Matthews, Charlene R. Weir, Damian A. Borbolla:
AI Assisted Mobile Triage App: Assessment of Time to Decide, Choice of Course of Action, Confidence Level, and Perceived Usability. - Michael Ripperger, Drew Wilimitis, William W. Stead, Kevin B. Johnson, Colin G. Walsh:
Action-oriented Artificial Intelligence for Suicide Risk Prediction: Prospective EHR-based Validation in a Large Clinical System. - Tracie Risling, Gillian Strudwick, Iman Kassam, Courtney Carlberg, John Tyler Moss:
Being SaskWell: Implementing a Two-Way Texting Service to Support Mental Health and Wellness Connectivity. - Rebecca L. Rivera, Heidi Hosler, Saurabh Rahurkar, Richard Holden, Joshua R. Vest, Jeong Hoon Jang, Jason Schaffer, Julia Adler-Milstein, Titus K. Schleyer:
Towards Measuring Real-World vs. Theoretical Impact: Evaluating Health Information Exchange (HIE) Using an Enhanced Method. - Rubina F. Rizvi, Casey Overby Taylor, Carl E. Johnson, Tiffani J. Bright:
Recommendations on Building a Sustainable AMIA Centered Around Diversity, Equity and Inclusion Practices - A Preliminary Report. - Amy Robinson, Tanya Podchiyska, Samson Tu, Justin G. Chambers, Omar A. Usman, Vishal Duggal, Anju Sahay, Susana B. Martins, Michael Ashcraft, Mary K. Goldstein:
Designing a Clinical Decision Support Framework from Primary Care Quality Performance Metric Dashboard to Individualized Patient Recommendation. - Jorge Mario Rodríguez-Fernández, Emily Danies, William L. Galanter, Ayis Pyrros, Andrew Boyd, Karl Kochendorfer:
Chronic Medical Conditions effects on Telemedicine Implementation During the COVID-19 Pandemic in Senior US Adults. - Ronald E. Romero Barrientos, Siddhartha Nambiar, Tracy Kim, Julia Sheehan, Laura C. Schubel, Sadaf Kazi, Kristen E. Miller:
Identifying Open-Source Health Information Technology Tools for Healthcare Researchers. - Joy Roy, Ashok Panigrahy, Rafael Ceschin:
Evaluating Brain Age Models in Adolescents with CHD. - Elise M. Russo, Arianna E. Nimocks, Dean F. Sittig, Adam Wright:
Content Analysis and Development of a Taxonomy for Value Set Issues. - Amit K. Saha, Scott Segal:
Prediction Model for Detecting Asymptomatic Covid-19 Infection in Preoperative Patients. - Hojjat Salmasian, Michelle Frits, Christine Iannaccone, Sevan M. Dulgarian, Laura C. Myers, Merranda Logan, David M. Levine, Christopher L. Roy, Lynn A. Volk, David Shahian, Elizabeth A. Mort, David W. Bates:
Characteristics of Safety Dashboards used by Harvard-Affiliated Hospitals. - Megan E. Salwei, Laurie L. Novak, Shilo Anders, Kim M. Unertl, Carrie Reale, Joyce M. Harris, Jason M. Slagle, Leigh Anne Tang, Michelle Gomez, Zhoujun Sun, Madhavi Mani, Reena Zhang, Akhil Choudhary, Paromita Nath, Matthew B. Weinger, Daniel J. France:
User Centered Design of a Clinical Deterioration Response System for Outpatient Cancer Patients. - Nichole Samuy, Bunyamin Ozaydin, Ferhat D. Zengul:
Incorporation of American Hospital Association Annual Survey Data into a Health Services Research Data Warehouse. - Amanda R. Sawyer, Vojtech Huser:
Analyzing Associated Data Tracking via PubMed Secondary Source ID. - Diana J. Schreier, Patrick Wieruszewski:
Utilizing a Clinical Decision Support Alert to Increase Nasal MRSA PCR Ordering and Reduce Vancomycin Course Duration. - Leah Shafran Topaz, Brock Daniels, Kevin Munjal, Meghan Reading Turchioe, Rainu Kaushal, Ruth Masterson Creber:
Using Mobile Integrated Health and Telehealth to Support Transitions of Care among Heart Failure Patients; MIGHTy Heart study protocol. - Marianne Sharko, Yongkang Zhang, Yiye Zhang, Evan Sholle, Sajjad Abedian, Meghan Reading Turchioe, Jessica S. Ancker:
Impact of Social Determinants of Health on Predictive Models in 30-Day Hospital Readmission or Death for Patients with Severe Obesity. - Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar:
A multi-label classifier to screen different types of substance misuse in hospitalized patients. - Lincoln R. Sheets, Leonardo Martinez, Trang H. Quach, Yang Ge, Rosina Marchan, Philip Hill, Henok G. Woldu:
Radiographic Manifestations in Tuberculosis Patients Coinfected with Diabetes Mellitus: A Systematic Review and Meta-Analysis. - Jane L. Shellum, Davide Sottara, Robert R. Freimuth, Aaron Nathan, Adam M. Bartscher:
Content in Context - Individualizing Knowledge Resources for Delivery at the Point of Care. - Nelson Shen, Iman Kassam, Navi Boparai, Sheng Chen, Clement Ma, Wei Wang, Damian Jankowicz, Gillian Strudwick:
Digital Mental Health Priorities of People Affected by Mental Health Problems: A Pan-Canadian Survey. - Thomas B. Silverman, Jacquelyn Amenta, Jill Dimond, Cynthia Law, Tarsha Jones, Katherine Crew, Rita Kukafka:
Accessing Electronic Medical Record Data Through a Breast Cancer Prevention Decision Support Tool: Usability and Pilot Testing of a SMART on FHIR API. - Kritika Singh, Gita Pathak, Tyne Miller-Flemming, Frank Wendt, Nava Ehsan, Kangcheng Hou, Ruth Johnson, Zeyun Lu, Shyamalika Gopalan, Loic Yang, Pejman Mohammadi, Bogdan Pasaniuc, Renato Polimanti, Lea Davis, Nicholas Mancuso:
Integrative Analyses Identify Susceptibility Genes Underlying COVID-19 Hospitalization. - Joshua C. Smith, Allison B. McCoy, John A. Morris, Asli Weitkamp:
Predictive Model for Inpatient Mortality. - Diva Smriti, Rahil Rathod, Jina Huh-Yoo:
Toward Privacy Implications in Developing and Deploying Chatbots in Informatics Research: Analysis of Chatbot Development Platforms. - Saira Somnay, William Chen, Lauren Boreta, Steve Braunstein, Julian C. Hong:
Longitudinal Data of Cancer Patients with Prior Mental Health Diagnoses Show Differences in Demographics, Emergency Visits, and Suicidality Rates. - Jiyoun Song, Marietta Ojo, Margaret V. McDonald, Kenrick Cato, Sarah Collins Rossetti, Yolanda Barrón, Sridevi Sridharan, Sena Chae, Mollie Hobensack, Kathryn H. Bowles, Maxim Topaz:
Natural Language Processing Algorithm to Detect Terms Representing Risk of Hospitalization or Emergency Department Visits during Home Health Care. - Qianqian Song, Jing Su:
Artificial intelligence identifies the progression of cancer patients with kidney disease. - Brett R. South, Anita M. Preininger, Piyush Parmar, Rubina F. Rizvi, David Brotman, Shira Alevy, Mollie M. McKillop, Gretchen P. Jackson, William Kassler:
Deploying Conversational Agents to Facilitate Housing Assistance Needs Resulting from COVID-19. - Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Nosa Orobaton, Daniel B. Neill:
Automatic Stratification of Tabular Health Data. - Amanda Steffon, Precious Faith H. Porter:
The Missing Piece: Utilizing Social Work Documentation for the Collection of Social Determinants of Health. - Bryan D. Steitz, Adam Wright:
Comparing Language Model Vocabulary Coverage on Clinical Documents. - Stacey T. Stokes, Jessica Herstek:
Use of the Electronic Health Record in Pediatric Medicine to Capture and Highlight Gender Identity in Order to Better Ensure Gender Affirming Care. - Samantha Stonbraker, Gabriella Sanabria, Maureen George, Silvia Amesty, Ana F. Abraído-Lanza, Peter Gordon, Susan Olender, Tawandra Rowell-Cunsolo, Sophia Centi, Bryan McNair, Suzanne Bakken, Rebecca Schnall:
Infographic use leads to better health outcomes among Latinos with HIV. - Kristin M. Story, Sheri L. Robb, Alaina Preddie, Mindy E. Flanagan, Teresa M. Damush:
Service Delivery Adaptations: Telehealth Creative Arts Therapy in the Veterans Health Administration. - Zachary H. Strasser, Hossein Estiri, Shawn N. Murphy:
A Machine Learning Approach for Identifying Emergent Phenotypes Associated with a Previous COVID Infection. - Lina Sulieman, Karthik Natarajan, Qingxia Chen, Robert J. Carroll, Kayla Marginean, Paul A. Harris, Andrea H. Ramirez:
Measuring the correctness of All of Us physical measurement. - Siao Sun, Fusheng Wang, Sina Rashidian, Tahsin M. Kurç, Kayley Abell-Hart, Janos G. Hajagos, Wei Zhu, Mary M. Saltz, Joel H. Saltz:
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks. - Zhoujun Sun, Rubina F. Rizvi, Shilo Anders, Brett R. South, Elisabeth Scheufele, Karlis Draulis, Henry J. Feldman:
Extraction of Ambiguous Phrases Found Within Adverse Drug Event Mentions Using A Natural Language Processing-Based Annotation tool. - Ania Syrowatka, Masha Kuznetsova, Ava Alsubai, Adam L. Beckman, Paul A. Bain, Kelly J. Thomas Craig, Jianying Hu, Gretchen P. Jackson, Kyu Rhee, David W. Bates:
How Can Artificial Intelligence Tools Be Used to Manage Future Pandemics? A Scoping Review of Key Use Cases. - Douglas A. Talbert, Steve Talbert:
Trauma Triage in an Information Rich Environment. - Brittany N. Taylor, Christopher Knaplund, Sarah Collins Rossetti, Kenrick Cato:
Supervised Machine Learning of Nursing Flowsheet Data to Identify a Signal of Racial Bias. - Casey Overby Taylor, Ilia Rattsev, Jeremy A. Epstein, Jiawei Bai, Natalie Flaks-Manov:
Telehealth Adoption and Healthcare Utilization During the COVID-19 Pandemic: Toward Understanding What Follows for Vulnerable Groups. - Khushboo Maulikmihir Thaker, Susan Birkhoff, Vivian Hui, Zhendong Wang, Peter Brusilovsky, Daqing He, Young Ji Lee:
Towards building a Recommender System: Analyzing Resource Sharing on an Online Ovarian Cancer Community. - Jeritt G. Thayer, Megan O. Lewis, Jonathan Spergel, Robert W. Grundmeier:
Assessment of Fast Healthcare Interoperability Resources Response Times in a Production Electronic Health Record Embedded Visualization. - Mohammad Samie Tootooni, Erin F. Barreto, Kalyan S. Pasupathy, Kianoush B. Kashani:
Vancomycin Dosing in Critically Ill Patients: A Machine Learning Approach. - Ching-Huei Tsou, Diwakar Mahajan, Jennifer J. Liang:
Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned. - Antonia Tsvetanova, Glen P. Martin, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Hyland:
Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used. - Grace K. Turner, Meliha Yetisgen:
Comparison of Three Phrase Chunking Approaches on Medical Concept Coverage in Clinical Text. - Elizabeth Umberfield, Susan E. Hickman, Titus K. Schleyer:
Advance Care Planning Documents Should be 'FAIR': Towards Findable, Accessible, Interoperable, and Reusable Advance Care Planning Documentation. - Hendrikus J. A. van Os, Jos P. Kanning, Marieke J. H. Wermer, Niels H. Chavannes, Mattijs E. Numans, Ynte M. Ruigrok, Erik W. van Zwet, Ewout W. Steyerberg, Hein Putter, Rolf H. H. Groenwold:
Developing clinical prediction models using primary care electronic health record data - the impact of methodological choices on model performance. - Jack VanSchaik, Sunandan Chakraborty:
Quantifying Uncertainty in Patient Count Metrics Derived from Imperfect EHR-based Phenotypes. - Madison Vinson, Bunyamin Ozaydin:
Integrating Hospital Compare Data into the Health Services Research Data Warehouse. - Salvatore G. Volpe, Karthik Natarajan:
REDHot OMOP: Facilitating Semantic Interoperability in REDCap with FHIR and the OMOP CDM. - Lemuel R. Waitman, Sravani Chandaka, Daniel W. Connolly, Jud Rhode, Debbie Jae, Evan Dean:
DS-DETERMINED: Using PCORnet and Referral Code Linkage to Expand the NIH DS-CONNECT Registry and Assess Down Syndrome Participants' Self-Determination. - Ramona L. Walls, Jeffery S. Barrett, Alexandre Betourne, Emily Hartley, Jane Larkindale, Daniel Olson, William T. Roddy, Amanda Borens:
A Responsive Data Curation and Integration Pipeline for Rare Disease Data. - Lu Wang, Jina Huh-Yoo:
The Representativeness of "People Also Ask" of Google Web Search on the Information Needs Concerning Alzheimer's Disease and Related Dementias. - Suwei Wang, Hu Huang, Elisabeth Scheufele, Gretchen P. Jackson, Irene Dankwa-Mullan:
Factors Affecting Telemedicine Utilization among Cardiovascular Disease Patients During the COVID-19 Pandemic. - Ying Wang, Janusz Wojtusiak:
Active Learning Based User-Defined Chest X-Ray Diagnosis System Leveraging 5G Infrastructure for COVID-19 Variant Detection. - Nich Wattanasin, Victor M. Castro, Vivian S. Gainer, Barbara Benoit, Andrew Cagan, Reeta Metta, Shawn N. Murphy:
A Novel Data Portal to Enable COVID-19 Data Integration and Analysis. - Michael Weiner, Elizabeth M. Yano, Jessica A. Davila, Catherine Brayton, Alison M. Cogan, Seppo T. Rinne, Steven R. Simon:
The PROVEN Coordinating Hub to Accelerate Research about Electronic Health Record Modernization in the U.S. Department of Veterans Affairs. - LuAnn Whittenburg, Virginia K. Saba:
Nursing Data in a CoVID-19 Vaccination Clinic. - Drew Wilimitis, Robert W. Turer, Michael Ripperger, Allison B. McCoy, Sarah H. Sperry, Colin G. Walsh:
Complementing Automated Risk Prediction with Face-to-face Screening Improves Suicide Risk Prediction. - Kaitlin C. Williamson, Daniel Fabbri:
Classifying Infection Risk Following Pediatric Cardiac Surgery. - Kala S. Wilson, Brian Wells, Jyoti Gangur, Kristin M. Lenoir, Maria E. Mayorga, Franck Diaz-Garelli:
Exploring EHR Diagnosis Recording Pattern Changes During a Pandemic. - Tanner B. Wilson, Gilles Clermont, Harry Hochheiser:
Prediction of Small Bowel Obstruction Outcomes with Machine Learning. - Jennifer Withall, Jessica M. Schwartz, John Usseglio, Kenrick Cato:
The Use of Integrated Medical Devices and Clinical Decision Support in the Acute Care Setting: A Scoping Review. - Janusz Wojtusiak, Wejdan Bagais, Hedyeh Mobahi, Elina Guralnik, Amira Roess, Farrokh Alemi:
Do Clusters and Sequence of Symptoms Predict COVID-19 Test Results? - Rachel Wong, Tanvi Mehta, Jeremy Schwartz, Jeremy A. Epstein, Erika Smith, Nitu Kashyup, Fasika Woreta, Bradley Crotty, Kristian Feterik, Michael Fliotsos, Jing Luo:
Implementing Real-Time Prescription Benefit Tools: Early Experiences at 5 Academic Centers. - Theodore B. Wright, Charlene Davis, Connor J. Rossier:
An Interactive COVID-19 Vaccination Appointment Dashboard. - YiFan Wu, Adam B. Wilcox:
The Spectrum of Engagement in Chronic Kidney Disease Care at a Large Healthcare System. - Feng Xie, Bibhas Chakraborty, Nan Liu, Marcus Eng Hock Ong:
Development and Validation of a Survival Score for the Emergency Department in Singapore. - Jinchen Xie, Arman Kilic, Rema Padman:
Risk Stratifying Heart Failure Readmissions of VAD-Eligible Patients Using Laboratory Data. - Keiko Yamashita, Shintaro Oyama, Satoshi Yamashita, Chiaki Funada, Kikue Sato, Taiki Furukawa, Aki Sugano, Daisuke Kobayashi, Hiroshi Tomozawa, Yuji Sakamoto, Yoshinori Ideno, Kensaku Mori, Yoshimune Shiratori:
Hand hygiene monitoring by positioning technology utilizing IoT devices. - Mengying Yan, Michael J. Pencina, Benjamin Alan Goldstein:
Understanding Algorithmic Bias in Clinical Prediction Models. - Yuyang Yang, David M. Liebovitz, William L. Galanter, Jason S. Adelman, Thomas F. Byrd:
Implementation of Medication Alerts to Reduce Wrong-Drug and Wrong-Patient Errors in CPOE Systems. - Jiancheng Ye, Zhimei Ren:
Using multivariate models to examine the impact of COVID-19 pandemic and gender differences on health and health care. - Zaid K. Yousif, Mike Hogarth, Linda Awdishu:
Predicting-30 Day All-Cause Unplanned Hospital Readmission of Patients That Developed Acute Kidney Injury During Intensive Care Unit Stay. - Jingzhi Yu, Ann A. Wang, Huyen Vu, Nicholas Soulakis, Yacob Tedla, Abel N. Kho:
Electronic Health Records Reveal Statins Prescription Trends among Small to Medium Sized Practices. - Noa Zamstein, Andrew J. Neumann, Randi E. Foraker, Jason A. Thomas, Adam B. Wilcox, Jon D. Morrow:
Prediction of COVID-19 Case Severity Using Synthetic Data Derived from the National COVID Cohort Collaborative. - Xiaoming Zeng, Austin Hall, Victoria Jeffries, Stacey Burgin, John Gilmore, Elizabeth Rossi, Thava Mahadevan:
Improving COVID-19 Vaccine Uptake of Mental Illness Patients using Learning Health System Framework. - Hansi Zhang, Xi Yang, Thomas J. George, William R. Hogan, Jiang Bian, Yonghui Wu:
Developing an Ontology for Social and Behavioral Determinants of Health. - Xinmeng Zhang, Chao Yan, Mayur B. Patel, Bradley A. Malin, You Chen:
Predicting Next-Day Discharge via Electronic Health Record Audit Logs. - Ziqi Zhang, Chao Yan, Xinmeng Zhang, Steve Nyemba, Bradley A. Malin:
CCF-CL: Forecasting the Clinical Status of a Patient Through Contrastive Learning. - Sicheng Zhou, Liwei Wang, Nan Wang, Sunyang Fu, Chetan Shenoy, Anne H. Blaes, Hongfang Liu, Rui Zhang:
Deep Learning Approaches for Breast Cancer Characteristics Extraction from Electronic Health Records. - Vivienne J. Zhu, Jingqi Wang, Jenna L. McCauley, Lindsey K. Jennings, Hua Xu, Kathleen T. Brady, Leslie A. Lenert:
Comparison of Natural Language Processing Approaches Identifying Opioid Overdose from Clinical Notes for Emergency Department. - Maryam Zolnoori, Sasha Vergez, Zoran Kostic, Siddhartha R. Jonnalagadda, Maxim Topaz:
Feasibility study of audio recording patient-clinician verbal communications in home healthcare settings.
Systems Demonstration
- Uba Backonja, Anne M. Turner, Betty Bekemeier:
SHARE-NW: Solutions in Health Analytics for Rural Equity across the Northwest, an Innovative Public Health Informatics Tool. - Cal Collins, Adam L. Asare, Mitra Rocca:
OneSource: Regulatory-grade Automated Data Capture in Multicenter Trials. - Antonio Foncubierta-Rodríguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani:
Histocartography: a pipeline for histology image analysis. - Daniel R. Harris, Daniel Redmond, Jeffery C. Talbert:
Generalizing Dynamic Dashboards for Community-Engaged Interventions. - Jeffrey G. Klann, Michael Mendis, Peter Rice, Rudy Potenzone, Louisa May Klann, Griffin M. Weber, Diane Keogh, Shawn N. Murphy:
Integrating Informatics for Integrating Biology and the Bedside with tranSMART: Flexible Data Warehousing with Complex Analytics. - Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng:
Interactive Model Report Card for Visual Exploration of Performance Heterogeneity and Biases on Population Subgroups. - Timothy A. Miller, Bin Mao, Dan Gottlieb, Kenneth D. Mandl:
The SMART Cumulus Text-to-FHIR NLP Pipeline. - Evan W. Orenstein, Naveen Muthu, Marc Tobias:
Is your clinical decision support moving the needle on outcomes that matter? Novel software for evaluating quality improvement initiatives. - Jingqi Wang, Yaoyun Zhang:
VITAL: A semantic search engine for clinical text.
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last updated on 2024-12-30 19:34 CET by the dblp team
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