This paper is in the following e-collection/theme issue:

NIH funded proposals with peer-review reports (USA) (125) Clinical Information and Decision Making (2031) Electronic Health Records (1362) Design and Usability of Clinical Software and EHRs (364) mHealth for Data Collection and Research (1233) Development and Evaluation of Research Methods, Instruments and Tools (785) Decision Support for Health Professionals (1608) Cognition and Information Processing in Human Factors Research (31)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66127, first published .
Investigation of Information Overload in Electronic Health Records: Protocol for Usability Study

Investigation of Information Overload in Electronic Health Records: Protocol for Usability Study

Investigation of Information Overload in Electronic Health Records: Protocol for Usability Study

Authors of this article:

Saif Khairat1 Author Orcid Image ;   Jennifer Morelli1 Author Orcid Image ;   Marcella H Boynton2 Author Orcid Image ;   Thomas Bice2 Author Orcid Image ;   Jeffrey A Gold3 Author Orcid Image ;   Shannon S Carson2 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Hađina J, Jukić B, Oyedemi F. Optimizing Network Communication Structure for Knowledge Transmission in Organizations. Journal of Organizational Computing and Electronic Commerce 2026;36(1):1 View
  2. Khairat S, Morelli J, Boynton M, Bice T, Gold J, Carson S. Investigating Information Visualization to Combat Information Overload in Electronic Health Records: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2025;14:e74247 View
  3. Lushington G, Nair S, Jupe E, Rubin B, Purushothaman M. Criteria and Protocol: Assessing Generative AI Efficacy in Perceiving EULAR 2019 Lupus Classification. Diagnostics 2025;15(18):2409 View
  4. Merriweather, C, Lyytinen K, Aron D, Cauley M. When better data meets better design: How EHR data usability and system usability shape physicians’ cognitive load. npj Digital Medicine 2026;9(1) View
  5. Khairat S, Morelli J, Yang S, Li Y, Herasevich V, Mohan D, Handzel R, Ratwani R, Apathy N, Boynton M, Carson S. Association of patient complexity with information processing and usability of electronic health records among ICU providers: a multicenter study. Journal of the American Medical Informatics Association 2026 View

Conference Proceedings

  1. Shetgaonkar A, Pradhan D, Arora L, Girija S, Raj A, Kapoor S. 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC). Mitigating Clinician Information Overload: Generative AI for Integrated EHR and RPM Data Analysis View