Healthcare providers in Virginia are using a new AI solution, developed by a cardiologist, to monitor the health of COVID-19 patients by evaluating their risk of a potential adverse event every two seconds.
The software, called CoMET, has been assessing patients at the University of Virginia for several months now. As a patient’s risk of an adverse event increases, CoMET uses bright colors to warn of “cardiovascular instability, respiratory instability or both.”
The solution is not limited to just evaluating patients hospitalized for COVID-19, though that has been one of its most common uses since it was first developed.
CoMET was created by Randall Moorman, MD, a cardiovascular medicine specialist at the University of Virginia Medical Center.
“Vital sign measurements and labs can come too late, but early detection through predictive analytics has the power to improve patients’ outcomes, especially for catastrophic illnesses like COVID-19,” Moorman said in a statement.
Jessica Keim-Malpass, PhD, a professor at the University of Virginia and Moorman’s research partner, published a study on the solution in the International Journal of Nursing Studies Advances. Her analysis explored “the intersections of nursing practice, nursing science and precision predictive analytics monitoring” with an emphasis on COVID-19.
“In the fight against COVID-19, CoMET offers us the potential to change the clinical paradigm from reactive to proactive,” Keim-Malpass said in the same statement.
Keim-Malpass has already started work on another study on CoMET, one that is scheduled to last two years.
Michael has more than 16 years of experience as a professional writer and editor. He has written at length about cardiology, radiology, artificial intelligence and other key healthcare topics.