Systematic review of the performance evaluation of clinicians with or without the aid of machine learning clinical decision support system.

ABSTRACT:

Background

For the adoption of machine learning clinical decision support systems (ML-CDSS) it is critical to understand the performance aid of the ML-CDSS. However, it is not trivial, how the performance aid should be evaluated. To design reliable performance evaluation study, both the knowledge from the practical framework of experimental study design and the understanding of domain specific design factors are required.

Objective

The aim of this review study was to form a practical framework and identify key design factors for experimental design in evaluating the performance of clinicians with or without the aid of ML-CDSS.

Methods

The study was based on published ML-CDSS performance evaluation studies. We systematically searched articles published between January

SUBMITTER: Nuutinen M 

PROVIDER: S-EPMC10262137 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature