Accessibility settings

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

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (618) Clinical Informatics (2306) Clinical Information and Decision Making (3768) Human Factors and Usability Case Studies (1314) Safety and Error Prevention in Health (325) Electronic Health Records (1749) Intensive Care Unit (ICU) (191) Physician and Healthcare Worker Burnout (216) Cognition and Information Processing in Human Factors Research (51)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74247, first published .
Tired nurse in blue scrubs at a computer with a stethoscope

Investigating Information Visualization to Combat Information Overload in Electronic Health Records: Protocol for a Randomized Controlled Trial

Investigating Information Visualization to Combat Information Overload in Electronic Health Records: Protocol for a Randomized Controlled Trial

Authors of this article:

Saif Khairat1, 2, 3 Author Orcid Image ;   Jennifer Morelli2 Author Orcid Image ;   Marcella H Boynton4 Author Orcid Image ;   Thomas Bice4 Author Orcid Image ;   Jeffrey A Gold5 Author Orcid Image ;   Shannon S Carson4 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Ianculescu M, Băjenaru L, Săndulescu V, Petean C. A Standards-Mapped Accessibility-by-Design Framework for AI-Driven Smart Healthcare Solutions: Application to the NeuroPredict Platform. Information 2026;17(9):850 View