News: FDA approves AI based Predictive Patient Surveillance System
Wave Clinical Platform uses special algorythm to predict and prevent sudden death.
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According to the official statement WAVE gives early warning of patient deterioration on average more than six hours in advance of when clinicians would otherwise notice.
The Visensia® Safety Index (VSI) , WAVE’s first-ever FDA cleared algorithm developed by Oxford University spinoff OBS Medical, gives every patient a risk-stratified score from 0.0 to 5.0. VSI has been shown in clinical trials to have 95 percent predictive value.
The system is connected to the patient 24/7 and it monitors patients vitals and sends an allert to any smart device connected to it every time there is a chance of heart attack or respiratory failure. This is the first algorythm of such kind to receive FDA approval.
According to a study by Journal of Patient Safety more than 400,000 patients die prematurely every year in American hospitals. This number is equivalent to 2 airliners colliding every day of the year.
At the moment, the platform focuses on population health within the hospital walls, but speaking to HCA News, Excel Medical General Manager Lance Burton said that his company may expand its focus in the long-term.
“In the future, we’ll be looking outside of the hospital. It makes logical sense, since CMS is focused on more of a longitudinal view of the patient and the responsibility of healthcare providers and hospitals,” he said. “When looking at 30-day hospital readmissions, ICU readmissions, code events, and rapid response team activations, this platform’s going to be a real powerful tool to address those problems.”
Article is written with the information provided by: Excel Medical, Healthcare Analytics News, Journal of Patient Safety and Gizmodo
