Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.

ABSTRACT:

Objective

The study sought to describe the prevalence and nature of clinical expert involvement in the development, evaluation, and implementation of clinical decision support systems (CDSSs) that utilize machine learning to analyze electronic health record data to assist nurses and physicians in prognostic and treatment decision making (ie, predictive CDSSs) in the hospital.

Materials and methods

A systematic search of PubMed, CINAHL, and IEEE Xplore and hand-searching of relevant conference proceedings were conducted to identify eligible articles. Empirical studies of predictive CDSSs using electronic health record data for nurses or physicians in the hospital setting published in the last 5 years in peer-reviewed journals or conference proceedings were eligible for synthe

SUBMITTER: Schwartz JM 

PROVIDER: S-EPMC7936403 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature