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Journal of the American Medical Informatics Association, Volume 31
Volume 31, Number 1, December 2023
- William W. Stead
, Randolph A. Miller, Lucila Ohno-Machado
JAMIA at 30: looking back and forward. 1-9 - Kamran Abbasi, Parveen Ali, Virginia Barbour, Thomas Benfield, Kirsten Bibbins-Domingo, Stephen Hancocks, Richard Horton, Laurie Laybourn-Langton, Robert Mash, Peush Sahni, Wadeia Mohammad Sharief, Paul Yonga
Time to treat the climate and nature crisis as one indivisible global health emergency. 10-12 - Suzanne Bakken
User interfaces remain an important area of study. 13-14 - Julia Adler-Milstein, Ariel Linden, Renee Y. Hsia
Electronic connectivity between hospital pairs: impact on emergency department-related utilization. 15-23 - Nusa Faric
Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study. 24-34 - Timothy Bergquist
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. 35-44 - Norina Gasteiger
Virtual reality and augmented reality smartphone applications for upskilling care home workers in hand hygiene: a realist multi-site feasibility, usability, acceptability, and efficacy study. 45-60 - Alvin D. Jeffery
Inpatient nurses' preferences and decisions with risk information visualization. 61-69 - Karen Konkel
Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS). 70-78 - Donghwan Yun, Hyun-Lim Yang
Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture. 79-88 - Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao
Improving model transferability for clinical note section classification models using continued pretraining. 89-97 - Garrett Eickelberg
Transportability of bacterial infection prediction models for critically ill patients. 98-108 - Clara Mosquera Lopez
Combining uncertainty-aware predictive modeling and a bedtime Smart Snack intervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections. 109-118 - Anna Ostropolets
Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records. 119-129 - Chan Joo Lee
Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI. 130-138 - David J. Schlueter, Lina M. Sulieman
Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. 139-153 - Jaleal Sanjak
Clustering rare diseases within an ontology-enriched knowledge graph. 154-164 - Piaopiao Li
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records. 165-173 - Catherine J. Staes
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach. 174-187 - Akshay Swaminathan
Selective prediction for extracting unstructured clinical data. 188-197 - Chaoqi Yang, Junyi Gao
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus. 198-208 - Erica A. Voss
European Health Data & Evidence Network - learnings from building out a standardized international health data network. 209-219 - Carianne Martinez, Drew Levin
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans. 220-230 - Jukrin Moon
Clinical decision support systems in community pharmacies: a scoping review. 231-239 - Olatunde O. Madandola
The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review. 240-255 - Yik-Ki Jacob Wan
Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review. 256-273 - Sharon E. Davis
A framework for understanding label leakage in machine learning for health care. 274-280 - Correction. 281
Volume 31, Number 2, January 2024
- Adriana Arcia
Advancing the science of visualization of health data for lay audiences. 283-288 - Pooja M. Desai
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences. 289-297 - Bahareh Ansari
Integrating human-centered design in public health data dashboards: lessons from the development of a data dashboard of sexually transmitted infections in New York State. 298-305 - Aimiel Casillan
Participant-guided development of bilingual genomic educational infographics for Electronic Medical Records and Genomics Phase IV study. 306-316 - Lynne M. Cotter, Sijia Yang:
Are interactive and tailored data visualizations effective in promoting flu vaccination among the elderly? Evidence from a randomized experiment. 317-328 - Samantha Stonbraker
A pilot test of an infographic-based health communication intervention to enhance patient education among Latino persons with HIV. 329-341 - Riley Cullen, Elizabeth M. Heitkemper
Designing an infographic webtool for public health. 342-353 - Maeve Brin, Paul Trujillo, Ming-Chun Huang, Patricia Cioe, Huan Chen, Wenyao Xu, Rebecca Schnall:
Development and evaluation of visualizations of smoking data for integration into the Sense2Quit app for tobacco cessation. 354-362 - Emily Ruzich
A powerful partnership: researchers and patients working together to develop a patient-facing summary of clinical trial outcome data. 363-374 - Surabhi Datta
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models. 375-385 - Monika E. Grabowska
Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records. 386-395 - Yanfei Wang, Weiling Zhao, Angela Ross
Revealing chronic disease progression patterns using Gaussian process for stage inference. 396-405 - Peter Graffy
Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study. 406-415 - Matthew McDermott, Anand Dighe, Peter Szolovits, Yuan Luo
Using machine learning to develop smart reflex testing protocols. 416-425 - Huixue Zhou
Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition. 426-434 - Maryam Zolnoori, Sridevi Sridharan, Ali Zolnour, Sasha Vergez, Margaret V. McDonald, Zoran Kostic, Kathryn H. Bowles, Maxim Topaz:
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare. 435-444 - Wei Feng
Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study. 445-455 - Wei-Chun Lin
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data. 456-464 - Ching-Tzu Tsai
Improving the design of patient-generated health data visualizations: design considerations from a Fitbit sleep study. 465-471 - Sarah K. Savage, Jonathan Lotempio, Erica D. Smith
Using a chat-based informed consent tool in large-scale genomic research. 472-478 - Darren Chau, José Parra
Community engagement in the development of health-related data visualizations: a scoping review. 479-487 - Maxene Graze, Jonathan A. Schwabish:
Building color palettes in your data visualization style guides. 488-498 - Nichole Pereira
Methods for studying medication safety following electronic health record implementation in acute care: a scoping review. 499-508 - Anton H. van der Vegt
Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain. 509-524 - Jessica S. Ancker
Do you want to promote recall, perceptions, or behavior? The best data visualization depends on the communication goal. 525-530 - Allyson Ferguson, Denise Goldsmith, Patricia Flatley Brennan:
Visualization of health information within immersive virtual reality environments. 531-535 - Nephi A. Walton, Radhakrishnan Nagarajan, Chen Wang
Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup. 536-541 - Sabrina Mangal
Seeing things the same way: perspectives and lessons learned from research-design collaborations. 542-547 - Correction to: Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS). 548
Volume 31, Number 3, February 2024
- Suzanne Bakken
Celebrating Eta Berner and her influence on biomedical and health informatics. 549-551 - Tad T. Brunyé, Kelsey Booth, Dalit D. Hendel, Kathleen F. Kerr
Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies. 552-562 - Max Kasun
Academic machine learning researchers' ethical perspectives on algorithm development for health care: a qualitative study. 563-573 - Joshua C. Smith, Brian D. Williamson, David J. Cronkite, Daniel Park, Jill M. Whitaker, Michael F. McLemore, Joshua Osmanski, Robert Winter, Arvind Ramaprasan, Ann Kelley, Mary Shea, Saranrat Wittayanukorn, Danijela Stojanovic, Yueqin Zhao, Sengwee Toh, Kevin B. Johnson, David Aronoff, David S. Carrell
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease. 574-582 - Christian G. Reich
OHDSI Standardized Vocabularies - a large-scale centralized reference ontology for international data harmonization. 583-590 - Junbo Wu, Christina T. Yuan, Rachel Moyal-Smith, Elizabeth C. Wick, Michael A. Rosen
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care. 591-599 - Joanna Lawrence, Mike South, Harriet Hiscock
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital. 600-610 - Amelia K. Barwise
Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives. 611-621 - Sigall K. Bell, Maelys J. Amat, Timothy S. Anderson, Mark D. Aronson, James C. Benneyan, Leonor Fernandez, Dru A Ricci, Talya Salant, Gordon D. Schiff, Umber Shafiq, Sara J. Singer
Do patients who read visit notes on the patient portal have a higher rate of "loop closure" on diagnostic tests and referrals in primary care? A retrospective cohort study. 622-630 - Caitlin G. Allen
Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices. 631-639 - Jianhui Gao, Clara-Lea Bonzel, Chuan Hong, Paul Varghese, Karim Zakir, Jessica L. Gronsbell:
Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms. 640-650 - Louis Mullie
CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data. 651-665 - Sarah B. May
Generalizable pipeline for constructing HIV risk prediction models across electronic health record systems. 666-673 - Marcy G. Antonio
From illness management to quality of life: rethinking consumer health informatics opportunities for progressive, potentially fatal illnesses. 674-691 - Aaron M. Cohen
Automatically pre-screening patients for the rare disease aromatic l-amino acid decarboxylase deficiency using knowledge engineering, natural language processing, and machine learning on a large EHR population. 692-704 - Nicoleta J. Economou-Zavlanos
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. 705-713 - Bradley E. Iott
Structured and unstructured social risk factor documentation in the electronic health record underestimates patients' self-reported risks. 714-719 - Heath A. Davis
The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem. 720-726 - Kimberly F. McManus
Deploying a national clinical text processing infrastructure. 727-731 - Mashael Alowais
Digital literacy in undergraduate pharmacy education: a scoping review. 732-745 - Hang Ding
Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. 746-761 - Vishal Anand Shetty, Shauna Durbin, Meghan S. Weyrich, Airín Denise Martínez, Jing Qian, David L. Chin
A scoping review of empathy recognition in text using natural language processing. 762-775 - Trista M. Benítez, Yueyuan Xu, J. Donald Boudreau, Alfred Wei Chieh Kow, Fernando Bello, Le Van Phuoc, Xiaofei Wang
Harnessing the potential of large language models in medical education: promise and pitfalls. 776-783 - Adam Rule
Guidance for reporting analyses of metadata on electronic health record use. 784-789 - Julian Tugaoen, Alana Becker, Chenmeinian Guo, Efthimios Parasidis, Shaileshh Bojja Venkatakrishnan, Jose Javier Otero
Web3-based storage solutions for biomedical research and clinical data exchange. 790-793
Volume 31, Number 4, 2024
- Suzanne Bakken
Engaging knowers in the design and implementation of digital health innovations. 795-796 - Robert F. Lario
The Business Process Management for Healthcare (BPM+ Health) Consortium: motivation, methodology, and deliverables for enabling clinical knowledge interoperability (CKI). 797-808 - Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. 809-819 - Alexia Giannoula, Mercè Comas, Xavier Castells, Francisco Estupiñán-Romero, Enrique Bernal-Delgado
Exploring long-term breast cancer survivors' care trajectories using dynamic time warping-based unsupervised clustering. 820-831 - Alicia Williamson, Marcy G. Antonio
Human technology intermediation to reduce cognitive load: understanding healthcare staff members' practices to facilitate telehealth access in a Federally Qualified Health Center patient population. 832-845 - Chenjie Zeng
Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank. 846-854 - Veer Sangha
Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. 855-865 - Wesley Barker, Natalya Maisel, Catherine E. Strawley
A national survey of digital health company experiences with electronic health record application programming interfaces. 866-874 - Brock Daniels
Bridging the digital health divide - patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity. 875-883 - Ellen Kim
Job search strategies and early careers of clinical informatics fellowship alumni (2016-2022). 884-892 - Paige Nong
Public perspectives on the use of different data types for prediction in healthcare. 893-900 - Dylan Phelan
Beyond compliance with the 21st Century Cures Act Rule: a patient controlled electronic health information export application programming interface. 901-909 - Dinah Foer, David M. Rubins, Vi Nguyen, Alex McDowell, Meg Quint, Mitchell Kellaway, Sari L. Reisner, Li Zhou, David W. Bates
Utilization of electronic health record sex and gender demographic fields: a metadata and mixed methods analysis. 910-918 - Konstantinos Sideris
Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial. 919-928 - Katherine K. Kim
Perspectives of community-based organizations on digital health equity interventions: a key informant interview study. 929-939 - Shan Chen
Evaluating the ChatGPT family of models for biomedical reasoning and classification. 940-948 - Malvika Pillai
Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models. 949-957 - Seung-Yup (Joshua) Lee, Mohammed Alzeen, Abdulaziz Ahmed:
Estimation of racial and language disparities in pediatric emergency department triage using statistical modeling and natural language processing. 958-967 - Siru Liu, Allison B. McCoy
Leveraging explainable artificial intelligence to optimize clinical decision support. 968-974 - Tyler Haberle, Courtney Cleveland, Greg L. Snow
The impact of nuance DAX ambient listening AI documentation: a cohort study. 975-979 - Moshe Zisser, Dvir Aran:
Transformer-based time-to-event prediction for chronic kidney disease deterioration. 980-990 - Ari Z. Klein
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. 991-996 - Brian Kwan
Implementation of an electronic health record-integrated instant messaging system in an academic health system. 997-1000 - Steven E. Labkoff
Identifying the capabilities for creating next-generation registries: a guide for data leaders and a case for "registry science". 1001-1008 - Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall
Question answering systems for health professionals at the point of care - a systematic review. 1009-1024 - Dmitry Scherbakov
Stressful life events in electronic health records: a scoping review. 1025-1035 - Wei-Qi Wei, Robb Rowley, Angela M. Wood
Improving reporting standards for phenotyping algorithm in biomedical research: 5 fundamental dimensions. 1036-1041 - Clifford S. Mitchell, Tim Callahan, Eamon Flynn:
A messaging standard for environmental inspections: is it time? 1042-1046 - Correction to: Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes. 1047
- Correction to: Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study. 1048
Volume 31, Number 5, 2024
- Suzanne Bakken
Moving forward on the science of informatics and predictive analytics. 1049-1050 - Behzad Naderalvojoud
Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network. 1051-1061 - Betina Ross S. Idnay
Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer's disease and related dementias. 1062-1073 - François Grolleau
Personalizing renal replacement therapy initiation in the intensive care unit: a reinforcement learning-based strategy with external validation on the AKIKI randomized controlled trials. 1074-1083 - Meng Zhang
Methodologies and key considerations for implementing the International Classification of Diseases-11th revision morbidity coding: insights from a national pilot study in China. 1084-1092 - Markus Haug
Markov modeling for cost-effectiveness using federated health data network. 1093-1101 - Dazheng Zhang
Learning competing risks across multiple hospitals: one-shot distributed algorithms. 1102-1112 - Nasir Wabe
Development and internal validation of a dynamic fall risk prediction and monitoring tool in aged care using routinely collected electronic health data: a landmarking approach. 1113-1125 - Jacqueline Honerlaw
Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users. 1126-1134 - Henian Chen
A data-driven approach to choosing privacy parameters for clinical trial data sharing under differential privacy. 1135-1143 - James R. Jones, Daniel Gottlieb, Andrew J. McMurry, Ashish Atreja, Pankaja M. Desai
Real world performance of the 21st Century Cures Act population-level application programming interface. 1144-1150 - Eleanore Rae Scheer
Designing for caregiving networks: a case study of primary caregivers of children with medical complexity. 1151-1162 - Gongbo Zhang
A span-based model for extracting overlapping PICO entities from randomized controlled trial publications. 1163-1171 - Feng Chen
Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models. 1172-1183 - Darren Johnson, Guilherme Del Fiol
Genetically guided precision medicine clinical decision support tools: a systematic review. 1183-1194 - Sharon E. Davis
Sustainable deployment of clinical prediction tools - a 360° approach to model maintenance. 1195-1198 - Nadine Shehab, Liora Alschuler, Sean McIlvenna, Zabrina Gonzaga, Andrew Laing, David deRoode, Raymund B. Dantes, Kristina Betz, Shuai Zheng, Sheila Abner, Elizabeth Stutler, Rick Geimer, Andrea L. Benin:
The National Healthcare Safety Network's digital quality measures: CDC's automated measures for surveillance of patient safety. 1199-1205 - Howard R. Strasberg
Perspectives on the role of industry in informatics research and authorship. 1206-1210 - Kathrin M. Cresswell, Clair Sullivan, Jeremy Theal, Hajar Mozaffar, Robin Williams:
Concerted adoption as an emerging strategy for digital transformation of healthcare - lessons from Australia, Canada, and England. 1211-1215
Volume 31, Number 6, 2024
- Suzanne Bakken
What can you do with a large language model? 1217-1218 - Jean Noël Nikiema
Assessing the impact of transitioning to 11th revision of the International Classification of Diseases (ICD-11) on comorbidity indices. 1219-1226 - Hamed Javidi, Arshiya Mariam, Lina Alkhaled, Kevin M. Pantalone, Daniel M. Rotroff
An interpretable predictive deep learning platform for pediatric metabolic diseases. 1227-1238 - Shikha Tripathi, Alejandro Acien, Ashley A Holmes, Teresa Arroyo-Gallego, Luca Giancardo
Generalizing Parkinson's disease detection using keystroke dynamics: a self-supervised approach. 1239-1246 - Katrina M. Romagnoli, Zachary M. Salvati, Darren Johnson, Heather M. Ramey, Alexander R. Chang, Marc S. Williams:
Genomics in nephrology: identifying informatics opportunities to improve diagnosis of genetic kidney disorders using a human-centered design approach. 1247-1257 - Yifan Liu
Preparing for the bedside - optimizing a postpartum depression risk prediction model for clinical implementation in a health system. 1258-1267 - Xin Dong
PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning. 1268-1279 - Thomas Petit-Jean
Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions. 1280-1290 - Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy A. Miller
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. 1291-1302 - Jiayi Tong, Yishan Shen, Alice Xu, Xing He
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. 1303-1312 - Gondy Leroy
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes. 1313-1321 - Fereshteh S. Bashiri
Development and external validation of deep learning clinical prediction models using variable-length time series data. 1322-1330 - Velma L. Payne
Clinician perspectives on how situational context and augmented intelligence design features impact perceived usefulness of sepsis prediction scores embedded within a simulated electronic health record. 1331-1340 - Usman Iqbal
Can large language models provide secondary reliable opinion on treatment options for dermatological diseases? 1341-1347 - Kevin Xie
Disparities in seizure outcomes revealed by large language models. 1348-1355 - Mullai Murugan
Empowering personalized pharmacogenomics with generative AI solutions. 1356-1366 - Siru Liu, Allison B. McCoy
Leveraging large language models for generating responses to patient messages - a subjective analysis. 1367-1379 - Timotej Knez
Multimodal learning for temporal relation extraction in clinical texts. 1380-1387 - Siru Liu, Allison B. McCoy
Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support. 1388-1396 - Hyeoneui Kim
Evaluating the validity of the nursing statements algorithmically generated based on the International Classifications of Nursing Practice for respiratory nursing care using large language models. 1397-1403 - Onkar Litake, Brian H. Park
Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes. 1404-1410 - Jetske Graafsma
The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review. 1411-1422 - Roger Lacson
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review. 1423-1435 - Satvik Tripathi
Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care. 1436-1440 - Jenelle A. Jindal
Ensuring useful adoption of generative artificial intelligence in healthcare. 1441-1444 - Correction to: Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices. 1445
- Correction to: Evaluating the ChatGPT family of models for biomedical reasoning and classification. 1446
- Correction to: From illness management to quality of life: rethinking consumer health informatics opportunities for progressive, potentially fatal illnesses. 1447
Volume 31, Number 7, 2024
- Suzanne Bakken
Addressing methodological and logistical challenges of using electronic health record (EHR) data for research. 1449-1450 - Thomas Beaney
Comparing natural language processing representations of coded disease sequences for prediction in electronic health records. 1451-1462 - Ziqing Ji, Siyan Guo, Yujie Qiao
Automating literature screening and curation with applications to computational neuroscience. 1463-1470 - Erika Rasnick Manning
Development of a multimodal geomarker pipeline to assess the impact of social, economic, and environmental factors on pediatric health outcomes. 1471-1478 - Maxwell Salvatore
To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice. 1479-1492 - Sunyang Fu
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. 1493-1502 - Jorie M. Butler
Pneumonia diagnosis performance in the emergency department: a mixed-methods study about clinicians' experiences and exploration of individual differences and response to diagnostic performance feedback. 1503-1513 - Egill A. Fridgeirsson
Comparing penalization methods for linear models on large observational health data. 1514-1521 - Thomas R. Campion Jr.
Understanding enterprise data warehouses to support clinical and translational research: impact, sustainability, demand management, and accessibility. 1522-1528 - Helge Brandberg
Are medical history data fit for risk stratification of patients with chest pain in emergency care? Comparing data collected from patients using computerized history taking with data documented by physicians in the electronic health record in the CLEOS-CPDS prospective cohort study. 1529-1539 - Minwook Kim, Donggil Kang, Min Sun Kim, Jeong Cheon Choe, Sun-Hack Lee, Jin-Hee Ahn, Jun-Hyok Oh, Jung Hyun Choi, Han Cheol Lee, Kwang Soo Cha, Kyungtae Jang, Woor I Bong, Giltae Song
Acute myocardial infarction prognosis prediction with reliable and interpretable artificial intelligence system. 1540-1550 - Shiyao Xie, Wenjing Zhao, Guanghui Deng, Guohua He, Na He, Zhenhua Lu, Weihua Hu, Mingming Zhao, Jian Du
Utilizing ChatGPT as a scientific reasoning engine to differentiate conflicting evidence and summarize challenges in controversial clinical questions. 1551-1560 - Yukinobu Kawakami, Takuya Matsuda, Noriaki Hidaka, Mamoru Tanaka, Eizen Kimura:
Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts. 1561-1568 - Yining Hua
Streamlining social media information retrieval for public health research with deep learning. 1569-1577 - Sharon Jiang
Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing. 1578-1582 - Jorge Alberto Rodriguez
A system-wide approach to digital equity: the Digital Access Coordinator program in primary care. 1583-1587 - Danielle Kato
Implementation of a health information technology safety classification system in the Veterans Health Administration's Informatics Patient Safety Office. 1588-1595 - Yishu Wei, Yu Deng, Cong Sun, Mingquan Lin
Deep learning with noisy labels in medical prediction problems: a scoping review. 1596-1607 - Cornelius Born
The role of information systems in emergency department decision-making - a literature review. 1608-1621 - Mark P. Sendak
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety. 1622-1627
Volume 31, Number 8, 2024
- Suzanne Bakken
Standards and frameworks. 1629-1630 - Kin Wah Fung
Promoting interoperability between SNOMED CT and ICD-11: lessons learned from the pilot project mapping between SNOMED CT and the ICD-11 Foundation. 1631-1637 - Andrew J. McMurry, Daniel Gottlieb, Timothy A. Miller
Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence. 1638-1647 - Li Zhang
Bridging the gap in author names: building an enhanced author name dataset for biomedical literature system. 1648-1656 - Nate C. Apathy
Consistency is key: documentation distribution and efficiency in primary care. 1657-1664 - Siru Liu, Aileen P. Wright, Allison B. McCoy
Using large language model to guide patients to create efficient and comprehensive clinical care message. 1665-1670 - Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. 1671-1681 - Dean F. Sittig
Patient-centered clinical decision support challenges and opportunities identified from workflow execution models. 1682-1692 - Jason Patterson, Nicholas P. Tatonetti:
KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapy. 1693-1703 - Xander Jacquemyn, Jef Van den Eynde, Bhargava K. Chinni, David M. Danford, Shelby Kutty
Computational simulation of the potential improvement in clinical outcomes of cardiovascular diseases with the use of a personalized predictive medicine approach. 1704-1713 - Yang Ren, Yuqi Wu, Jungwei W. Fan
Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models. 1714-1724 - Tom M. Seinen
Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools. 1725-1734 - Ali S. Tejani
Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures. 1735-1742 - Xiao Luo
Zero-shot learning to extract assessment criteria and medical services from the preventive healthcare guidelines using large language models. 1743-1753 - Nathaniel Hendrix, Natalya Maisel, Jordan Everson
Impact of response bias in three surveys on primary care providers' experiences with electronic health records. 1754-1762 - Yajun Lu
A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring. 1763-1773 - Thomas J. S. Durant
A primer for quantum computing and its applications to healthcare and biomedical research. 1774-1784 - David S. Carrell
A general framework for developing computable clinical phenotype algorithms. 1785-1796 - Aaron Lawson McLean
Constructing knowledge: the role of AI in medical learning. 1797-1798 - Correction to: De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository. 1799
Volume 31, Number 9, 2024
- Zhiyong Lu
Large language models in biomedicine and health: current research landscape and future directions. 1801-1811 - Yan Hu
Improving large language models for clinical named entity recognition via prompt engineering. 1812-1820 - Hieu Tran, Zhichao Yang, Zonghai Yao
BioInstruct: instruction tuning of large language models for biomedical natural language processing. 1821-1832 - Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, Ya Zhang, Weidi Xie, Yanfeng Wang:
PMC-LLaMA: toward building open-source language models for medicine. 1833-1843 - François Remy
BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights. 1844-1855 - Angeela Acharya
Clinical risk prediction using language models: benefits and considerations. 1856-1864 - Ling Luo
Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks. 1865-1874 - Maxime Griot
Impact of high-quality, mixed-domain data on the performance of medical language models. 1875-1883 - Jingqing Zhang
The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant. 1884-1891 - Cheng Peng
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. 1892-1903 - Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu
Ensemble pretrained language models to extract biomedical knowledge from literature. 1904-1911 - Huaiyuan Ying
CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs. 1912-1920 - Benjamin S. Glicksberg
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. 1921-1928 - Mingchen Li, Huixue Zhou
RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition. 1929-1938 - Opeoluwa Akinseloyin, Xiaorui Jiang
A question-answering framework for automated abstract screening using large language models. 1939-1952 - Mauro Nievas, Aditya Basu, Yanshan Wang, Hrituraj Singh:
Distilling large language models for matching patients to clinical trials. 1953-1963 - Mary M. Lucas
Reasoning with large language models for medical question answering. 1964-1975 - Jodyn Platt
Public comfort with the use of ChatGPT and expectations for healthcare. 1976-1982 - Kar-mun C. Woo, Gregory W. Simon, Olumide Akindutire, Yindalon Aphinyanaphongs, Jonathan S. Austrian, Jung G. Kim, Nicholas Genes, Jacob A Goldenring, Vincent J. Major
Evaluation of GPT-4 ability to identify and generate patient instructions for actionable incidental radiology findings. 1983-1993 - Chao Yan
Large language models facilitate the generation of electronic health record phenotyping algorithms. 1994-2001 - Katerina Andreadis
Mixed methods assessment of the influence of demographics on medical advice of ChatGPT. 2002-2009 - Huixue Zhou
LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction. 2010-2018 - Rui Hua
Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models. 2019-2029 - Yiming Li
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization. 2030-2039 - Amila Kugic
Disambiguation of acronyms in clinical narratives with large language models. 2040-2046 - Michelle Bak
The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change. 2047-2053 - Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Shixu Lin, Yingying Zhang, Yefeng Zheng, Changzheng Yuan, Jie Yang:
Large language models leverage external knowledge to extend clinical insight beyond language boundaries. 2054-2064 - Yilu Fang
Knowledge-guided generative artificial intelligence for automated taxonomy learning from drug labels. 2065-2075 - Andy Wang
Fine-tuning large language models for rare disease concept normalization. 2076-2083 - Anjun Chen
Benchmarking the symptom-checking capabilities of ChatGPT for a broad range of diseases. 2084-2088 - Fabiana C. Dos Santos
An example of leveraging AI for documentation: ChatGPT-generated nursing care plan for an older adult with lung cancer. 2089-2096 - Akhil Vaid, Son Q. Duong, Joshua Lampert, Patricia H. Kovatch, Robert Freeman
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. 2097-2102 - Milton Pividori
A publishing infrastructure for Artificial Intelligence (AI)-assisted academic authoring. 2103-2113 - Satya S. Sahoo
Large language models for biomedicine: foundations, opportunities, challenges, and best practices. 2114-2124 - Javad Pool, Marta Indulska, Shazia Wasim Sadiq
Large language models and generative AI in telehealth: a responsible use lens. 2125-2136 - Guillem García Subies
A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks. 2137-2146 - Jorge Alberto Rodriguez
Leveraging large language models to foster equity in healthcare. 2147-2150 - Dimitris Spathis
The first step is the hardest: pitfalls of representing and tokenizing temporal data for large language models. 2151-2158 - William R. Hersh
Search still matters: information retrieval in the era of generative AI. 2159-2161
Volume 31, Number 10, 2024
- Suzanne Bakken
Firearm injury risk detection and prevention. 2163-2164 - Rachel M. Ancona
Machine learning classification of new firearm injury encounters in the St Louis region: 2010-2020. 2165-2172 - Hui Zhou, Claudia Nau, Fagen Xie
A machine-learning prediction model to identify risk of firearm injury using electronic health records data. 2173-2180 - Yuting Guo, Anthony Ovadje, Mohammed Ali Al-Garadi, Abeed Sarker
Evaluating large language models for health-related text classification tasks with public social media data. 2181-2189 - David Cella
Shared decision-making and disease management in advanced cancer and chronic kidney disease using patient-reported outcome dashboards. 2190-2201 - Nicholas J. Dobbins
Towards cross-application model-agnostic federated cohort discovery. 2202-2209 - Zuoting Nie, Shiying Gao, Long Chen, Rumei Yang
Social media use and mental health among older adults with multimorbidity: the role of self-care efficacy. 2210-2216 - Sonish Sivarajkumar
Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing. 2217-2227 - Seunghwan Kim
Measuring cognitive effort using tabular transformer-based language models of electronic health record-based audit log action sequences. 2228-2235 - Christopher Streiffer
The incremental design of a machine learning framework for medical records processing. 2236-2245 - Nate C. Apathy
Accounting for taste: preferences mediate the relationship between documentation time and ambulatory physician burnout. 2246-2254 - Marieke M. van Buchem
Applying natural language processing to patient messages to identify depression concerns in cancer patients. 2255-2262 - Sherry Yan, Wendi Knapp, Andrew Leong, Sarira Kadkhodazadeh, Souvik Das, Veena G. Jones, Robert Clark, David Grattendick, Kevin Chen, Lisa Hladik, Lawrence M. Fagan, Albert Chan:
Prompt engineering on leveraging large language models in generating response to InBasket messages. 2263-2270 - Scott P. McGrath
A comparative evaluation of ChatGPT 3.5 and ChatGPT 4 in responses to selected genetics questions. 2271-2283 - Matús Falis
Can GPT-3.5 generate and code discharge summaries? 2284-2293 - Cathy Shyr
Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency. 2294-2303 - Anant Vasudevan
Effect of digital tools to promote hospital quality and safety on adverse events after discharge. 2304-2314 - Madhumita Sushil
A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports. 2315-2327 - Maura Beaton
Using patient portals for large-scale recruitment of individuals underrepresented in biomedical research: an evaluation of engagement patterns throughout the patient portal recruitment process at a single site within the All of Us Research Program. 2328-2336 - Christian E. Johnson, Elizabeth A. Chrischilles, Stephan Arndt, Ryan M. Carnahan:
State-level factors associated with implementation of prescription drug monitoring program integration and mandatory use policies, United States, 2009-2020. 2337-2346 - Jessica Schwartz-Dillard
Electronic documentation burden among outpatient rehabilitation therapists: a qualitative descriptive study and quality improvement initiative. 2347-2355 - Joanna Abraham
Effect of standardized EHR-integrated handoff report on intraoperative communication outcomes. 2356-2368 - Matthieu Hanf
A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France). 2369-2373 - Julie M. Kafka
Measuring interpersonal firearm violence: natural language processing methods to address limitations in criminal charge data. 2374-2378 - Ying Liu, Haozhu Wang, Huixue Zhou
A review of reinforcement learning for natural language processing and applications in healthcare. 2379-2393 - Lidan Liu, Lu Liu, Hatem A Wafa, Florence Tydeman, Wanqing Xie, Yanzhong Wang
Diagnostic accuracy of deep learning using speech samples in depression: a systematic review and meta-analysis. 2394-2404 - Jeritt G. Thayer, Amy Franklin, Jeffrey M. Miller, Robert W. Grundmeier, Deevakar Rogith
A scoping review of rule-based clinical decision support malfunctions. 2405-2413 - Jessica Zhu
Nutrition facts, drug facts, and model facts: putting AI ethics into practice in gun violence research. 2414-2421
Volume 31, Number 11, 2024
- Alessio Arleo
Reflections on interactive visualization of electronic health records: past, present, future. 2423-2428 - Jenna L. Marquard, Robin Austin
Design of patient-facing immunization visualizations affects task performance: an experimental comparison of 4 electronic visualizations. 2429-2439 - Siwei Zhang
PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis. 2440-2446 - Sarah Goodwin
Designing the Australian Cancer Atlas: visualizing geostatistical model uncertainty for multiple audiences. 2447-2454 - Till Scholich
Augmenting clinicians' analytical workflow through task-based integration of data visualizations and algorithmic insights: a user-centered design study. 2455-2473 - Zuotian Li
TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease. 2474-2485 - Rene P. Warnking
Designing interactive visualizations for analyzing chronic lung diseases in a user-centered approach. 2486-2495 - Gabriela Morgenshtern
MS Pattern Explorer: interactive visual exploration of temporal activity patterns for multiple sclerosis. 2496-2506 - Brian D. Ondov
Visualizing multilayer spatiotemporal epidemiological data with animated geocircles. 2507-2518 - Lily V. Jeffs, Julia C. Dunbar, Sanaa Syed, Chelsea Ng, Ari H. Pollack:
Navigating normalcy: designing personal health visualizations for pediatric kidney transplant recipients and caregivers. 2519-2528 - Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang
Reliable generation of privacy-preserving synthetic electronic health record time series via diffusion models. 2529-2539 - Hwayoung Cho
Electronic health record system use and documentation burden of acute and critical care nurse clinicians: a mixed-methods study. 2540-2549 - Christopher Nielsen, Raissa Souza
Foundation model-driven distributed learning for enhanced retinal age prediction. 2550-2559 - Joseph H. Breeyear, Sabrina L. Mitchell, Cari L. Nealon, Jacklyn N. Hellwege, Brian Charest, Anjali Khakharia, Christopher W. Halladay, Janine Yang, Gustavo A Garriga, Otis D. Wilson, Til B. Basnet, Adriana M. Hung, Peter D. Reaven, James B. Meigs, Mary K. Rhee, Yang Sun, Mary G. Lynch, Lucia Sobrin, Milam A Brantley, Yan V. Sun, Peter W. Wilson, Sudha K. Iyengar, Neal S. Peachey, Lawrence S. Phillips, Todd L. Edwards, Ayush Giri:
Development of electronic health record based algorithms to identify individuals with diabetic retinopathy. 2560-2570 - Lingjie Fan
Predicting physical functioning status in older adults: insights from wrist accelerometer sensors and derived digital biomarkers of physical activity. 2571-2582 - Yujuan Fu, Giridhar Kaushik Ramachandran
CACER: Clinical concept Annotations for Cancer Events and Relations. 2583-2594 - Chikako Suda-King, Lucas Winch, James M. Tucker, Abbey D. Zuehlke, Christine Hunter, Janine M. Simmons:
Representation of Social Determinants of Health terminology in medical subject headings: impact of added terms. 2595-2604 - Aditi Pathak
Privacy preserving record linkage for public health action: opportunities and challenges. 2605-2612 - Emma A. M. Stanley
Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging. 2613-2621 - Yiming Li
Relation extraction using large language models: a case study on acupuncture point locations. 2622-2631 - Jiaxing Liu
Utilizing active learning strategies in machine-assisted annotation for clinical named entity recognition: a comprehensive analysis considering annotation costs and target effectiveness. 2632-2640 - Zidu Xu
Exploring home healthcare clinicians' needs for using clinical decision support systems for early risk warning. 2641-2650 - Toan C. Ong
Linkability measures to assess the data characteristics for record linkage. 2651-2659 - Cynthia Crystal Tang, Supriya Nagesh, David Fussell
Generating colloquial radiology reports with large language models. 2660-2667 - Nickolas Littlefield, Soheyla Amirian, Jacob T. Biehl, Edward G. Andrews, Michael Kann, Nicole Myers, Leah Reid, Adolph J. Yates, Brian J. McGrory, Bambang Parmanto, Thorsten M. Seyler, Johannes F. Plate, Hooman H. Rashidi, Ahmad P. Tafti:
Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading. 2668-2678 - Vishal Nagarajan, Supreeth Prajwal Shashikumar
Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction. 2679-2688 - Anastasia Krithara
BioASQ Synergy: a dialogue between question-answering systems and biomedical experts for promoting COVID-19 research. 2689-2698 - Sonia Priou, Emmanuelle Kempf, Marija Jankovic, Guillaume Lamé
"Goldmine" or "big mess"? An interview study on the challenges of designing, operating, and ensuring the durability of Clinical Data Warehouses in France and Belgium. 2699-2707 - Anoop Muniyappa, Benjamin Weia, Nicole Ling, Julie S. O'Brien, Mariamawit Tamerat, William Daniel Soulsby, Joanne Yim, Aris Oates:
A novel approach to patient portal activation data to power equity improvements. 2708-2715 - Amanda M. Lam
A GIS software-based method to identify public health data belonging to address-defined communities. 2716-2721 - Jessica J. Saw
Designing visual hierarchies for the communication of health data. 2722-2729 - Steven E. Labkoff
Toward a responsible future: recommendations for AI-enabled clinical decision support. 2730-2739 - Oliver Nguyen, Steven D. Vo, Taeheon Lee, Kenrick D. Cato, Hwayoung Cho
Implementation and delivery of electronic health records training programs for nurses working in inpatient settings: a scoping review. 2740-2748 - Xiaoran Lu
Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review. 2749-2759 - Jessica S. Ancker
Insufficient evidence for interactive or animated graphics for communicating probability. 2760-2765 - R. Burciaga Valdez, Christine Dymek, Kevin Chaney, Edwin A. Lomotan:
AHRQ's digital healthcare research program: 20 years of advancing innovation and discovery. 2766-2771 - Correction to: Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. 2772
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