Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study.

ABSTRACT:

Objective

Our study compares physician judgement with an automated early warning system (EWS) for predicting clinical deterioration of hospitalised general internal medicine patients.

Design

Prospective observational study of clinical predictions made at the end of the daytime work-shift for an academic general internal medicine floor team compared with the risk assessment from an automated EWS collected at the same time.

Setting

Internal medicine teaching wards at a single tertiary care academic medical centre in the USA.

Participants

Intern physicians working on the internal medicine wards and an automated EWS (Rothman Index by PeraHealth).

Outcome

Clinical deterioration within 24 hours including cardiac or pulmonary arrest, rapid response team activat

SUBMITTER: Arnold J 

PROVIDER: S-EPMC6797436 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature