Integrative review of Qualitative studies on AI-powered Clinical Decision Support Systems: For a more Care-Attuned Health Profession Education

• In Event: Artificial Intelligence in Action: Transforming Assessments

Abstract

This integrative review investigates how AI-powered Clinical Decision Support Systems (CDSS) mediate the lived experience of care among clinicians, nurses, administrators, and patients. Drawing on the phenomenology of technology and philosophies of care, we explore how stakeholders calibrate, contest, and sustain care practices in AI-integrated settings. Across studies, CDSS are perceived as relational artifacts that shape moral judgment, professional identity, and trust. Good care emerges through ongoing negotiation between situated, emotionally attuned practices and systemic efforts to standardize and depersonalize care. By analyzing 28 qualitative studies, this review expands the pedagogical scope of entrustment frameworks in health professions education (Gin et al., 2024) to better support relational, systemic, and care-centered responses to AI mediation.

Authors

• Ahreum Lim, Arizona State University

• Nathaniel Kim, University of Arizona

• Brian Christopher Gin, University of Illinois at Chicago