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European Health Evidence

The European alternative to PubMed

EUVIMED is the European alternative to PubMed: a central, multilingual research platform for medicine, nursing, life sciences and healthcare. It brings together international and European literature sources, study registries, open-access full texts, citations and retraction notices in one search. Unlike pure bibliographic databases, EUVIMED supports the entire research process – from discovery and appraisal with LIVIA and CLARA to traceable evidence synthesis. European in focus, transparent, interoperable and designed for science and healthcare.

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Lokaler Crossref-Datenbestand · journal-article

The Promise of Ambient AI Technology in Medical Education: Opportunities and Guardrails

Shirin Shafazand, Umar Bowers, Sudha Jayaraman

JMIR Medical Informatics · 2026

Vollständiger Abstract

Worum geht es in dieser Arbeit?

Abstract Ambient AI technologies, commonly known as AI scribes, are transforming clinical practice by autonomously capturing patient-provider conversations and structuring them into clinical notes. Short-term studies suggest that ambient AI can significantly reduce documentation time and improve job satisfaction. However, as health care systems accelerate the adoption of these tools, the medical education community must seek to answer unresolved questions regarding their full impact on learners. The inevitable integration of ambient AI in teaching hospitals presents both transformative opportunities and significant challenges for medical education. This viewpoint discusses the potential benefits and risks of ambient AI in both undergraduate and graduate medical education and considers its impact on learning and clinical skills acquisition. Robust research studies are urgently needed to navigate this new frontier and ensure that the integration of ambient AI in the clinical learning environment ultimately enriches, rather than diminishes, the practice of medicine.

Bibliografischer Nachweis

Publikationsdaten

Autor:innen
Shirin Shafazand, Umar Bowers, Sudha Jayaraman
Quelle
JMIR Medical Informatics
Publikation
2026-01-01
Band / Ausgabe
Nicht angegeben
Seiten
Nicht angegeben
ISSN / ISBN
2291-9694
Zitationen
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Zitierfähiger Nachweis

Shirin Shafazand, Umar Bowers, Sudha Jayaraman (2026). The Promise of Ambient AI Technology in Medical Education: Opportunities and Guardrails. JMIR Medical Informatics. https://doi.org/10.2196/88725
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