Sarah Rossetti and Kenrick Cato: Scaling up for Surge Capacity and COVID-19 Patient tracking in the EHR: Leveraging Healthcare process modeling
Sarah Rossetti and Kenrick Cato from the School of Nursing are working on using applied operational/clinical informatics approaches to dynamically classify the level of care needed, and other characteristics for hospital beds, during a surge of patients. Their model has several use cases: to foundationally map beds, identify bed changes (i.e. surgical suites to patient beds) during a surge, and to track new beds (i.e. have become ICU beds or influx of ventilators). They hope to use the CONCERN model to help hospital decision makes understand the risk of patient deterioration by location
