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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86178, first published .
Understanding Patient-Reported Offenses in Electronic Health Records: Cross-Sectional Mixed Methods Survey

Understanding Patient-Reported Offenses in Electronic Health Records: Cross-Sectional Mixed Methods Survey

Understanding Patient-Reported Offenses in Electronic Health Records: Cross-Sectional Mixed Methods Survey

Saija Simola   1 , MSc ;   Sari Kujala   1 , PhD ;   Åsa Cajander   2 , PhD ;   Anna Kharko   3, 4 , PhD ;   Bridget Kane   3, 5 , PhD ;   Bo Wang   6 , MSc ;   Rose-Mharie Åhlfeldt   7 , PhD ;   Maria Hägglund   3, 8 , PhD

1 Department of Computer Science, Aalto University, Espoo, Finland

2 Department of Information Technology, Uppsala University, Uppsala, Sweden

3 Department of Women’s and Children’s Health, Participatory eHealth and Health Data Research Group, Uppsala University, Uppsala, Sweden

4 Centre for Primary Care and Health Services Research, University of Manchester, Manchester, United Kingdom

5 Business School, Karlstad University, Karlstad, Sweden

6 Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway

7 School of Informatics, University of Skövde, Skövde, Sweden

8 Uppsala University Hospital, Uppsala, Sweden

Corresponding Author: