Attitudes Toward Large Language Models in Health Care and Preferences for Their Adoption and Oversight Among Health Care Professionals: Cross-Sectional Survey - Takeaways - MDSpire
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Health Care Professionals' Perspectives on the Integration and Regulation of Large Language Models: A Cross-Sectional Survey Analysis

  • By

  • Arya Rao

  • Chinemerem Nwokemodo-Ihejirika

  • John W R Kincaid

  • Marharyta Krylova

  • Kaiz P Esmail

  • Dan Nguyen

  • Christian Rivera

  • Erica Koranteng

  • Marc D Succi

  • September 15, 2026

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  • 1

    Large language models (LLMs) are increasingly utilized in healthcare for clinical and operational applications.

  • 2

    Physician adoption of AI tools in healthcare rose from 38% in 2023 to 66% in 2024.

  • 3

    LLMs have significant limitations, including the production of false or hallucinated information in clinical settings.

  • 4

    Ethical concerns regarding LLMs include algorithmic bias and insufficient transparency in training datasets.

  • 5

    Regulation of LLMs in healthcare is fragmented, lacking standardized predeployment validation requirements.

Original Source(s)

Attitudes Toward Large Language Models in Health Care and Preferences for Their Adoption and Oversight Among Health Care Professionals: Cross-Sectional Survey

  • by Arya Rao, Chinemerem Nwokemodo-Ihejirika, John W R Kincaid, Marharyta Krylova, Kaiz P Esmail, Dan Nguyen, Christian Rivera, Erica Koranteng, Marc D Succi

  • September 15, 2026

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