Development and Performance of a Clinical Decision Support Tool to Inform Resource Utilization for Elective Operations.

ABSTRACT:

Importance

Hospitals ceased most elective procedures during the height of coronavirus disease 2019 (COVID-19) infections. As hospitals begin to recommence elective procedures, it is necessary to have a means to assess how resource intensive a given case may be.

Objective

To evaluate the development and performance of a clinical decision support tool to inform resource utilization for elective procedures.

Design, setting, and participants

In this prognostic study, predictive modeling was used on retrospective electronic health records data from a large academic health system comprising 1 tertiary care hospital and 2 community hospitals of patients undergoing scheduled elective procedures from January 1, 2017, to March 1, 2020. Electronic health records data on case typ

SUBMITTER: Goldstein BA 

PROVIDER: S-EPMC7607444 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature