Fall Prediction Tool
Description
The Morse Fall Scale (MFS), as it is currently utilized, often fails to accurately assess fall risk, highlighting the need for more precise and timely fall risk assessment tools to prevent falls.
Detailed example
A numerical Fall Risk Score for fall risk stratification.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The goal is to provide a more accurate fall assessment score than the existing Morse Fall Score which could improve patient safety outcomes. Better assessing fall risk and applying proper fall prevention interventions would also translate to cost avoidance and savings.
Controls / human review
ATO: Not reported; PIA: Not published