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 2025:1 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

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