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TruaceTracing the truth around AIWednesday, August 5, 2026
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TRV-2026-0490Certified recordPeer-reviewed

AI-induced Deskilling in Medicine: A Mixed-Method Review and Research Agenda for Healthcare and Beyond

Abstract The integration of Artificial Intelligence (AI) in healthcare is reshaping clinical practice, offering both opportunities for enhanced decision-making and risks of skill degradation among medical professionals. This growing impact calls for a comprehensive evaluation of its effects on medical expertise. This study presents a mixed-method literature review, combining systematic analysis with narrative synthesis to examine AI-induced deskilling and upskilling inhibition-the erosion of medical expertise an…

Health · The Trace — both readings · certified 2026-07-22 · v1 · article view · machine-readable

Current reading — gain

Integration of AI in healthcare offers opportunities for enhanced decision-making in clinical practice.

Current reading — problem

AI-driven decision support systems cause erosion of medical expertise and reduction of opportunities for skill acquisition, creating risks of skill degradation and vulnerabilities in clinical judgment among medical professionals.

What this doesn’t fix

Review identifies need for stronger evidence base, advocating for longitudinal studies and real-time monitoring to assess AI impact and develop mitigation frameworks, indicating current literature is insufficient to quantify long-term skill erosion.

Evidence

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Truvace Impact Record TRV-2026-0490, v1: “AI-induced Deskilling in Medicine: A Mixed-Method Review and Research Agenda for Healthcare and Beyond.” Truvace, 2026-07-22. /record/TRV-2026-0490 (accessed at citation time). sha256 a693a4fb20510d19…

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