Key Points
Question
How can clinical departments implement a clinical decision support tool to predict expected resource use to prioritize elective inpatient surgical procedures?
Findings
In this prognostic study, predictive models for length of stay, intensive care unit length of stay, mechanical ventilator requirement, and discharge disposition to a skilled nursing facility were developed using historical case data abstracted from the electronic health records of 42 199 patients. These models were integrated into an interactive online dashboard with end-user input and iteratively tested.
Meaning
Predictive modeling, in conjunction with other contextualizing factors, can be used to inform how to recommence elective inpatient procedures after the coronavirus disease 2019 (COVID-19) pandemic.