An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.

ABSTRACT:

Objective

Evaluate the quality of clinical order practice patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.

Materials and methods

Inpatient electronic health records from 2010 to 2013 were extracted from a tertiary academic hospital. Clinicians (n = 1822) were stratified into low-mortality (21.8%, n = 397) and high-mortality (6.0%, n = 110) extremes using a two-sided P-value score quantifying deviation of observed vs. expected 30-day patient mortality rates. Three patient cohorts were assembled: patients seen by low-mortality clinicians, high-mortality clinicians, and an unfiltered crowd of all clinicians (n = 1046, 1046, and 5230 post-propensity score matching, respectively). Predicted order lists were automatically generated from rec

SUBMITTER: Wang JK 

PROVIDER: S-EPMC6250126 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature