AI Monitors Early Warning Signs in COVID Patients By Luke BellosJanuary 27, 2021
The University of Virginia Health system has developed an artificial intelligence program to detect and monitor early COVID19 signs and symptoms. Medical staff will use the technology to provide an extra level of oversight to predict oncoming deterioration, which gives doctors and nurses a head start on treatment.
The AI system, known as CoMET, analyzes live patient data to offer a better prediction of the level of care needed for each individual. What we have been working on and what we’ve developed is a system that takes in all of the information about the patient. All the vital signs, laboratory, tests and uses artificial intelligence to present back to the doctor or nurse the risk of the deterioration soon, said Dr. Randall Moorman, a UVA cardiologist and creator of CoMET software.
UVA Health receives $4.4 million to expand telehealth services
UVA receives $4.4M grant to expand telehealth services By Elizabeth Holmes | January 27, 2021 at 5:52 PM EST - Updated January 28 at 9:25 AM
CHARLOTTESVILLE, Va. (WVIR) - University of Virginia Health will receive more $4.4 million in grant money to expand its home-monitoring services to patients with serious medical conditions like COVID-19.
The grant, provided by the Federal Communications Commission, will fund data-enabled tablet devices for at least 1,500 patients in the area this year as part of its Connected Care pilot program.
Tablets will track patients’ vitals after they receive care at UVA Health and will allow them to stay connected with their physician without leaving their home.
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