Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review.

ABSTRACT:

Objective

Surveillance algorithms that predict patient decompensation are increasingly integrated with clinical workflows to help identify patients at risk of in-hospital deterioration. This scoping review aimed to identify the design features of the information displays, the types of algorithm that drive the display, and the effect of these displays on process and patient outcomes.

Materials and methods

The scoping review followed Arksey and O'Malley's framework. Five databases were searched with dates between January 1, 2009 and January 26, 2022. Inclusion criteria were: participants-clinicians in inpatient settings; concepts-intervention as deterioration information displays that leveraged automated AI algorithms; comparison as usual care or alternative displays; outcomes

SUBMITTER: Wan YJ 

PROVIDER: S-EPMC10746326 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature