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](https://asset.jmir.pub/assets/3fe4a90fff18ebdb56783564bf054963.png 480w,https://asset.jmir.pub/assets/3fe4a90fff18ebdb56783564bf054963.png 960w,https://asset.jmir.pub/assets/3fe4a90fff18ebdb56783564bf054963.png 1920w,https://asset.jmir.pub/assets/3fe4a90fff18ebdb56783564bf054963.png 2500w)
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- 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
- 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