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

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

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