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November 1, 2025Applied Clinical Informatics

Physician Perspectives on Large Language Models in Healthcare: A Cross-Sectional Survey Study

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Authors

HHHyo Jung HongNSNigam H. ShahMPMichael A. Pfeffer

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Overview

Cross-sectional survey evaluated physician perspectives on large language models in healthcare, indicating training needs and liability concerns.

Key Points

  • Health care professionals reported varying levels of liability concerns regarding large language models in different settings, showing marked differences based on institutional access.
  • Training was highly requested among participants, with 94% highlighting a need for further education on clinical applications and risk management.
  • The survey included 306 physicians, revealing that accuracy was the top priority when evaluating large language models.
  • Younger physicians demonstrated more enthusiasm for large language models, yet expressed greater concerns about legal implications.

Cite This Study

Hong et al. (2025) studied this question.

synapsesocial.com/papers/69054ffa1a99e50463de676bhttps://doi.org/10.1055/a-2735-0527
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A survey of Large Language Model use in a hospital, research, and teaching campus2024 · 4 citations
  2. 2A survey of large language model use in a hospital, research, and teaching campus2025
  3. 3A Student-Centered Approach Towards Implementing Large Language Models (LLMs) in Medical Education2026 · 1 citations
  4. 4Medical students’ use of large language models: a national survey2026
  5. 5Medical Students' Perspectives on and Usage of Large Language Models in Medical Education: An Exploratory Survey (Preprint)2025