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

Design and Usability of Clinical Software and EHRs (348) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (699) Electronic Health Records (1322) Participatory Design and Participatory Research (420) Human Factors and Usability Case Studies (1006)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50331, first published .
Patient-Generated Collections for Organizing Electronic Health Record Data to Elevate Personal Meaning, Improve Actionability, and Support Patient–Health Care Provider Communication: Think-Aloud Evaluation Study

Patient-Generated Collections for Organizing Electronic Health Record Data to Elevate Personal Meaning, Improve Actionability, and Support Patient–Health Care Provider Communication: Think-Aloud Evaluation Study

Patient-Generated Collections for Organizing Electronic Health Record Data to Elevate Personal Meaning, Improve Actionability, and Support Patient–Health Care Provider Communication: Think-Aloud Evaluation Study

Authors of this article:

Drashko Nakikj1 Author Orcid Image ;   David Kreda1 Author Orcid Image ;   Karan Luthria1 Author Orcid Image ;   Nils Gehlenborg1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Qiu L, Tang C, Bi X, Burtch G, Chen Y, Zhang H. Physician Use of Large Language Models: A Quantitative Study Based on Large-Scale Query-Level Data. Journal of Medical Internet Research 2025;27:e76941 View