Course: Assessment of the Performance Consistency of an Adverse Outcome Prediction Tool for Patients Hospitalized With COVID-19
CME Credits: 1.00
Released: 2021-07-27
The challenge of managing limited resources during the COVID-19 pandemic has sparked efforts to stratify risk among hospitalized patients. Few risk models have been validated or investigated for potential bias even though inpatient populations, treatments, and outcomes for COVID-19 have changed over time. We previously reported and validated a risk prediction tool based on COVID-19 hospitalizations during the initial wave of the pandemic. In this study, we report the performance of that same model on subsequent data from 6 hospitals collected during the second wave of patients with COVID-19.
Educational Objective
To identify the key insights or developments described in this article
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