Effects of machine learning-based clinical decision support systems on decision-making, care delivery, and patient outcomes: a scoping review.

ABSTRACT:

Objective

This study aims to summarize the research literature evaluating machine learning (ML)-based clinical decision support (CDS) systems in healthcare settings.

Materials and methods

We conducted a review in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta Analyses extension for Scoping Review). Four databases, including PubMed, Medline, Embase, and Scopus were searched for studies published from January 2016 to April 2021 evaluating the use of ML-based CDS in clinical settings. We extracted the study design, care setting, clinical task, CDS task, and ML method. The level of CDS autonomy was examined using a previously published 3-level classification based on the division of clinical tasks between the clinician and CDS; effects

SUBMITTER: Susanto AP 

PROVIDER: S-EPMC10654852 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature