Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study

Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study

BackgroundFalls are common adverse events in hospitals, frequently leading to additional health costs due to prolonged stays and extra care. Therefore, reliable fall detection is vital to develop and test fall prevention strategies. However, conventional methods—voluntary inc...

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Bibliographic Details
Main Authors: Dolci, Elisa, Schärer, Barbara, Grossmann, Nicole, Musy, Sarah Naima, Zúñiga, Franziska, Bachnick, Stefanie, Simon, Michael
Format: Article
Language:English
Published: JMIR Publications 2020-09-01
Series:Journal of Medical Internet Research
Online Access:http://www.jmir.org/2020/9/e19516/

Internet

http://www.jmir.org/2020/9/e19516/

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