Employing AI and Remote Patient Monitoring in the Fight Against COVID-19

A new collaboration between Current Health and Mayo Clinic will combine artificial intelligence and remote patient management to tackle the novel coronavirus (COVID-19). Edinburgh-based Current Health said the collaboration is aimed at accelerating 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. To do this, digital biomarkers collected by Current Health’s FDA-cleared remote monitoring sensors and platform will be used. "We currently help manage care for hundreds of patients infected with the coronavirus, and we saw an opportunity to use patient data to better understand how the coronavirus presents and evolves across diverse populations," Chris McCann, CEO and Co-Founder, Current Health, told MD+DI. "Through this collaboration, we believe we can add to Mayo Clinic’s major advancements in accelerating COVID-19 detection and diagnosis, and further efforts to understand and treat this disease." 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. This collaboration will use Current Health’s existing patient database – which already includes a...
Source: MDDI - Category: Medical Devices Authors: Tags: COVID-19 Business Source Type: news