Stakeholder perspectives towards diagnostic artificial intelligence: a co-produced qualitative evidence synthesis.

ABSTRACT:

Background

Diagnosis is a cornerstone of medical practice. Worldwide, there is increased demand for diagnostic services, exacerbating workforce shortages. Artificial intelligence (AI) technologies may improve diagnostic efficiency, accuracy, and access. Understanding stakeholder perspectives is key to informing implementation of complex interventions. We systematically reviewed the literature on stakeholder perspectives on diagnostic AI, including all English-language peer-reviewed primary qualitative or mixed-methods research.

Methods

We searched PubMed, Ovid MEDLINE/Embase, Scopus, CINAHL and Web of Science (22/2/2023 and updated 8/2/2024). The Critical Appraisal Skills Programme Checklist informed critical appraisal. We used a 'best-fit' framework approach for analysis, u

SUBMITTER: Ling Kuo RY 

PROVIDER: S-EPMC10973718 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature