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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (698) Safety and Error Prevention in Health (240) Electronic Health Records (1319)

Published on in Vol 24, No 7 (2022): July

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37226, first published .
Patients’ Willingness and Ability to Identify and Respond to Errors in Their Personal Health Records: Mixed Methods Analysis of Cross-sectional Survey Data

Patients’ Willingness and Ability to Identify and Respond to Errors in Their Personal Health Records: Mixed Methods Analysis of Cross-sectional Survey Data

Patients’ Willingness and Ability to Identify and Respond to Errors in Their Personal Health Records: Mixed Methods Analysis of Cross-sectional Survey Data

Authors of this article:

Rachael Lear1 Author Orcid Image ;   Lisa Freise1 Author Orcid Image ;   Matthew Kybert2 Author Orcid Image ;   Ara Darzi1 Author Orcid Image ;   Ana Luisa Neves1 Author Orcid Image ;   Erik K Mayer1 Author Orcid Image
Article Authors Cited by (6) Tweetations (21) Metrics

Journals

  1. Lear R, Freise L, Kybert M, Darzi A, Neves A, Mayer E. Perceptions of Quality of Care Among Users of a Web-Based Patient Portal: Cross-sectional Survey Analysis. Journal of Medical Internet Research 2022;24(11):e39973 View
  2. Al-Sahab B, Leviton A, Loddenkemper T, Paneth N, Zhang B. Biases in Electronic Health Records Data for Generating Real-World Evidence: An Overview. Journal of Healthcare Informatics Research 2024;8(1):121 View
  3. van Kessel R, Ranganathan S, Anderson M, McMillan B, Mossialos E. Exploring potential drivers of patient engagement with their health data through digital platforms: A scoping review. International Journal of Medical Informatics 2024;189:105513 View
  4. Torkman R, Ghapanchi A, Ghanbarzadeh R. Investigating Antecedents to Older Adults’ Uptake of Health Information Systems: A Quantitative Case Study of Electronic Personal Health Records. Informatics 2025;12(1):3 View
  5. Katsh E, Schwartz‐Maor T, Rabinovich‐Einy O. AI and the Future of Disputing: Naming, Blaming, Claiming, and Preventing. Conflict Resolution Quarterly 2025;43(1):79 View
  6. Forbes T, Cavataio J, Salvato J, Boggs L, Elnaggar A, Vaidya R. Do Postoperative Orthopedic Patients Accurately Report Their Narcotic Medication Usage Using the Interventional Pain Assessment Drugs Scale?. Cureus 2025 View