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The Promise of Ambient AI Technology in Medical Education: Opportunities and Guardrails
ABSTRACT
Ambient artificial intelligence (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 AI scribes can significantly reduce documentation time, and improve job satisfaction, However, as healthcare systems accelerate the adoption of these tools, the medical community must seek to answer unresolved questions regarding their full impact. The inevitable integration of ambient AI scribes in teaching hospitals presents both transformative opportunities and significant challenges for medical education. This viewpoint discusses potential benefits of ambient AI technologies in undergraduate and graduate medical education and considers their 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 technologies in the clinical learning environment ultimately enriches, rather than diminishes, the practice of medicine.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.