A Scoping Review of Actionable Recommendations for the Deployment of Artificial Intelligence in Healthcare: Protocol

Le résumé fourni par la source

This pre-registered scoping review systematically maps actionable recommendations for AI deployment in healthcare across the full deployment lifecycle. Following JBI methodology and PRISMA-ScR standards, we search MEDLINE (via PubMed) and IEEE Xplore (January 2020 to search date), alongside a purposive systematic grey literature search covering regulatory authorities, policy bodies, and professional societies across Europe, the UK, and selected countries globally. Recommendations are mapped against the Compass AI deployment lifecycle framework, which organises deployment into six phases across three stages: Before going live (Needs Assessment and Procurement; Local Performance Testing); Going live (Clinical Workflow Integration; User Training); and Sustaining (Ongoing Monitoring and Maintenance; Decommissioning). Each extracted recommendation is assigned a deployment phase, specificity level (high / medium / low), recommendation type, target stakeholder, and evidence basis. The review will identify which phases have comprehensive versus sparse guidance, what proportion of recommendations are immediately implementable versus aspirational, which stakeholders are underrepresented, and what practical tools exist to support deployment. All data and materials will be made publicly available via this OSF repository.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.