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Epidemiology of Patient Harms in New Zealand: Protocol of a General Practice Records Review Study

We also discovered that the reviews needed to be completed by GPs as nonmedical reviewers were unable to adequately interpret general practice records and identify patient harm.

Susan M Dovey, Sharon Leitch, Katharine A Wallis, Kyle S Eggleton, Wayne K Cunningham, Martyn I Williamson, Steven Lillis, Andrew W McMenamin, Murray W Tilyard, David M Reith, Ari Samaranayaka, Jason E Hall

JMIR Res Protoc 2017;6(1):e10

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Trigger Tool–Based Automated Adverse Event Detection in Electronic Health Records: Systematic Review

As a variety of AEs’ detection methods exist, we decided to focus on trigger tool–based AEs detection methods only, allowing comparisons between studies as suggested in a previous systematic review on automated detection of patient harm [29].

Sarah N Musy, Dietmar Ausserhofer, René Schwendimann, Hans Ulrich Rothen, Marie-Madlen Jeitziner, Anne WS Rutjes, Michael Simon

J Med Internet Res 2018;20(5):e198

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Perceptual Gaps Between Clinicians and Technologists on Health Information Technology-Related Errors in Hospitals: Observational Study

Theophile Ndabu, Pavankumar Mulgund, Raj Sharman, Ranjit Singh

JMIR Hum Factors 2021;8(1):e21884

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