Using community detection techniques to identify themes in COVID-19-related patient safety event reports.

Christian Boxley; Seth A. Krevat; Srijan Sengupta; Raj M. Ratwani; Allan Fong

Study

Using community detection techniques to identify themes in COVID-19-related patient safety event reports.

December 7, 2022

Boxley C, Krevat SA, Sengupta S, et al. J Patient Saf. 2022;18(8):e1196-e1202.

View more articles from the same authors.

COVID-19 changed the way care is delivered to hospitalized patients and resulted in new categories and themes in patient safety reporting. This study used machine learning to group of more than 2,000 patient safety event (PSE) reports into eight clinically relevant themes, including testing delays, diagnostic errors, pressure ulcers, and falls.

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