Healthcare IT News February 20, 2025
At HIMSS25, data experts from the health system will describe how a machine learning model integrated with their Epic EHR gives care teams patient-specific guidance to prevent falls.
Inpatient clinical care teams generally use tools such as bed alarms, gait belts, closer nursing station placement and more to prevent patient falls.
But those interventions can hinder clinical workflows and alert fatigue can make them less effective than they’re meant to be.
To help ensure only high-risk patients receive intensive precautions, and clinicians’ alarm fatigue is reduced, Aurora, Colorado-based UCHealth has developed a novel user interface that serves up specific fall interventions based on a patient’s unique risk profile.
The tool uses mobility...
Today's Sponsors
Today's Sponsor