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.

Elisa Dolci Barbara Schärer Nicole Grossmann Sarah Naima Musy Franziska Zúñiga Stefanie Bachnick Michael Simon

Published in: Journal of medical Internet research (2020)

The newly developed electronic health record algorithm demonstrated very high sensitivity for fall detection. Applied in near real time, the algorithm can record in-hospital falls events effectively and help to develop and test fall prevention measures.

Keyphrases

machine learning
deep learning
electronic health record
patient reported
adverse drug
neural network
cardiovascular disease
loop mediated isothermal amplification
healthcare
label free
emergency department
high throughput
clinical decision support
type diabetes
real time pcr
quantum dots
single cell