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AI scribes promise relief from clinical documentation fatigue - but what are their limitations, hidden risks, and true return on investment? In a landscape saturated with new scribing technologies, understanding which tools integrate meaningfully with EHR systems and which merely transcribe surface-level dialogue is critical for healthcare leaders. Hosted by Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), this discussion features Dr. Spencer Dorn, Vice Chair and Professor of Medicine at UNC (https://www.linkedin.com/in/spencerdorn/), offering clear insights into how AI scribes impact physician workflow, coding accuracy, and care quality. The conversation examines where current tools fall short, highlights the importance of personalization and contextual summarization, and explores how AI may shift the clinician-patient relationship.
By Tensor Black4.3
1414 ratings
AI scribes promise relief from clinical documentation fatigue - but what are their limitations, hidden risks, and true return on investment? In a landscape saturated with new scribing technologies, understanding which tools integrate meaningfully with EHR systems and which merely transcribe surface-level dialogue is critical for healthcare leaders. Hosted by Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), this discussion features Dr. Spencer Dorn, Vice Chair and Professor of Medicine at UNC (https://www.linkedin.com/in/spencerdorn/), offering clear insights into how AI scribes impact physician workflow, coding accuracy, and care quality. The conversation examines where current tools fall short, highlights the importance of personalization and contextual summarization, and explores how AI may shift the clinician-patient relationship.

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