Using Machine Learning to Assess Inpatient Fall Risk: Intrinsic and Extrinsic Factors
Inpatient falls pose a significant risk in healthcare settings, often leading to injuries, extended hospital stays, and even fatalities. Healthcare providers continuously seek innovative approaches to mitigate these risks and improve patient safety. One promising avenue is the application of machine learning (ML) models to develop robust fall risk assessment tools.