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Lukasz Mazur
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2020 – today
- 2024
- [j5]Malvika Pillai
, Chao Chin Liu, Elizabeth Kwong, Ian Kratzke, Nadia Charguia, Lukasz Mazur, Karthik Adapa
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout. J. Intell. Inf. Syst. 62(4): 1113-1124 (2024) - 2023
- [c16]Karthik Adapa
Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center. HCI (24) 2023: 239-254 - 2022
- [j4]Joseph K. Nuamah
State of the evidence on simulation-based electronic health records training: A scoping review. Health Informatics J. 28(3): 146045822211134 (2022) - [c15]Malvika Pillai, Karthik Adapa, Lukasz Mazur:
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. AMIA 2022 - [c14]Karthik Adapa
Human-Centered Participatory Co-design of a Dosimetry-Quality Assurance Checklist in an Academic Cancer Center. HCI (19) 2022: 3-20 - [c13]Amy Cole
Development of an Electronic Healthcare Tool to Elicit Patient Preferences in Older Adults Diagnosed with Hematologic Malignancies. HCI (30) 2022: 210-228 - [c12]Meagan Foster
Designing a Workplace Violence Reporting Tool for Healthcare Workers in Hospital Settings. HCI (26) 2022: 368-387 - [c11]Malvika Pillai
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. ISMIS 2022: 149-161 - [c10]Karthik Adapa
Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals. MIE 2022: 58-62 - [c9]Elizabeth Kwong
Evaluation of Data Visualizations for an Electronic Patient Preferences Tool for Older Adults Diagnosed with Hematologic Malignancies. VAHC 2022: 1-6 - 2021
- [c8]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. AMIA 2021 - [c7]Meagan Foster, Karthik Adapa
Electronic Reporting of Workplace Violence Incidents: Improving the Usability, and Optimizing Healthcare Workers' Cognitive Workload, and Performance. MedInfo 2021: 400-404 - [c6]Malvika Pillai
Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology. MedInfo 2021: 460-464 - [c5]Karthik Adapa
Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study. MedInfo 2021: 809-813 - [c4]Amy Cole
Co-Design Approaches Involving Older Adults in the Development of Electronic Healthcare Tools: A Systematic Review. MedInfo 2021: 1112-1113
2010 – 2019
- 2019
- [j3]Prithima Mosaly, Hua Guo, Lukasz Mazur:
Toward Better Understanding of Task Difficulty during Physicians' Interaction with Electronic Health Record System (EHRs). Int. J. Hum. Comput. Interact. 35(20): 1883-1891 (2019) - [c3]Natalie Grace Castellano, Prithima Mosaly, Lukasz Mazur:
Association Between Physicians' Burden and Performance During Interactions with Electronic Health Records (EHRs). AHFE (2) 2019: 26-35 - 2018
- [j2]Prithima Mosaly, Lukasz Mazur, Fei Yu
Relating Task Demand, Mental Effort and Task Difficulty with Physicians' Performance during Interactions with Electronic Health Records (EHRs). Int. J. Hum. Comput. Interact. 34(5): 467-475 (2018) - 2016
- [j1]Lukasz Mazur, Prithima Mosaly, Carlton Moore, Elizabeth Comitz, Fei Yu
Toward a better understanding of task demands, workload, and performance during physician-computer interactions. J. Am. Medical Informatics Assoc. 23(6): 1113-1120 (2016) - [c2]Prithima Mosaly, Lukasz Mazur, Lawrence B. Marks:
Usability Evaluation of Electronic Health Record System (EHRs) using Subjective and Objective Measures. CHIIR 2016: 313-316 - 2014
- [c1]Pegah Pooya, Julie S. Ivy, Lukasz Mazur, Katharin Deschesne, Prithima Mosaly, Gregg Tracton, Nishant Singh:
Assessing the reliability of the radiation therapy care delivery process using discrete event simulation. WSC 2014: 1233-1244
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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