Accessibility settings

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

Reviews on Human Factors (79) Theories, Models, and Frameworks in Human Factors (103) Electronic Health Records (1385) Design and Usability of Clinical Software and EHRs (371) Adoption and Change Management of eHealth Systems (961) Methods and Instruments in Medical Informatics (215)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86076, first published .
Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions

Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions

Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions

Authors of this article:

Dillon Chrimes1 Author Orcid Image ;   Alex Thomo2 Author Orcid Image ;   Mu-Hsing (Alex) Kuo1 Author Orcid Image ;   Elizabeth M Borycki1 Author Orcid Image ;   Andre Kushniruk1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Dillon Chrimes   1 , BSc, MSc, PhD ;   Alex Thomo   2 , BSc, MSc, PhD ;   Mu-Hsing (Alex) Kuo   1 , BSc, MSc, PhD ;   Elizabeth M Borycki   1 , RN, HBScN, MN, PhD ;   Andre Kushniruk   1 , BSc, MSc, PhD

1 School of Health Information Science, Faculty of Health, University of Victoria, Victoria, BC, Canada

2 Computer Science, Faculty of Engineering & Computer Science, University of Victoria, Victoria, BC, Canada

Corresponding Author:

  • Dillon Chrimes, BSc, MSc, PhD
  • School of Health Information Science
  • Faculty of Health, University of Victoria
  • PO Box 1700 STN CSC
  • Victoria, BC V8W 2Y2
  • Canada
  • Phone: 1 250-857-2404
  • Email: dchrimes@uvic.ca