aceClinician-Facing Artificial Intelligence-Based Clinical Decision Support Systems Evaluated in Real-World Health Care Settings: A PubMed/MEDLINE-Based, PMC-Weighted Scoping Review and Evidence Map
Background: Clinician-facing artificial intelligence-based clinical decision support systems (AI-CDSSs) are increasingly evaluated with real-world data, but evidence on implementation, human factors, responsible AI, and patient benefit remains unclear. The objective of this research is to map applications, technical characteristics, evaluation approaches, integration, outcomes, and implementation gaps of clinician-facing AI-CDSSs in real-world health care settings. Methods: PubMed/MEDLINE was searched on 15 June…
Among 1181 included reports on clinician-facing AI decision support, most stopped at clinical validation, and few evaluated implementation, safety, fairness or economics, so patient benefit is not yet demonstrated.
AI-assisted screening and charting received only targeted human review and quality control, and full-corpus dual-human screening was not performed, which limits confidence in the evidence map.
Evidence
- Peer-reviewedThe International Journal of Frontier Sciences2026-10-15
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Truvace Impact Record TRV-2026-1613, v1: “Clinician-Facing Artificial Intelligence-Based Clinical Decision Support Systems Evaluated in Real-World Health Care Settings: A PubMed/MEDLINE-Based, PMC-Weighted Scoping Review and Evidence Map.” Truvace, 2026-10-16. /record/TRV-2026-1613 (accessed at citation time). sha256 1b728117693eabe4…
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