Current Health collaborating with Mayo Clinic to detect COVID-19 using AI
Current Health has announced that it has launched a collaboration with Mayo Clinic to develop remote monitoring solutions that accelerate the identification of COVID-19-positive patients and predict symptom and disease severity in patients, healthcare workers and other at-risk individuals in critical service sectors.
Using digital biomarkers collected by Current Health’s FDA-cleared remote monitoring sensors and platform, experts from Mayo Clinic and Current Health will also be able to expedite identification and assessment of treatment efficacy and improve care for patients with or at risk of COVID-19 infection. Through this collaboration, Current Health and Mayo Clinic aim to improve patient outcomes while preserving and optimising health system capacity worldwide.
Today, more than 40 hospital systems around the globe use Current Health’s remote patient monitoring platform to monitor and manage patient health. These systems are now increasingly using Current Health to monitor and manage patients infected with COVID-19 at home and in the hospital. The next stage is to use digital biomarkers collected by the Current Health solutions, such as temperature, heart rate, oxygen saturation, activity and posture, to develop AI-based algorithms that can detect and predict symptom and disease severity to enable proactive treatment.
“Our collective ability to save lives hinges on our ability to understand this virus quickly. COVID-19 has presented in many ways across different people, which has made it very challenging to understand the virus and how it develops,” said Chris McCann, CEO and Co-Founder, Current Health. “By combining our platform with the deep medical and scientific expertise that exists at Mayo Clinic, we seek to explore both known and novel biomarkers, as well as how they manifest in entirely diverse populations. This will be critical to determining how we define, and enable effective treatment of, this disease.”