UC Health hospital rolls out AI-powered fall risk tool

To prevent falls, a Colorado hospital is replacing frequent bed alarms with an AI-enabled system that analyzes EHR data for risk indicators. 

Advertisement

Historically, UCHealth Memorial Hospital Central classified a majority of patients as high fall risks, administering bed alarms as a precaution.

“Putting all patients on alarms became a bit much as far as trying to respond to them all. It was also [overly] restrictive for some patients,” Melanie Engler, BSN, clinical nurse manager at Memorial Central, said in a statement. “If everybody is a fall risk, nobody is a fall risk.”

On Dec. 6, the Colorado Springs-based hospital implemented the risk of injury system, which scours EHR data for indicators such as confusion, previous falls, impulsivity and certain medications. The AI-powered platform offers clinicians suggestions to help guide decision-making in implementing precautionary measures.

Read more here.

At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.

Advertisement

Next Up in Patient Safety & Outcomes

Advertisement

Comments are closed.