Personal Health Large Language Models and the Negotiation of Medical Authority in Clinical Care: Opportunities, Risks, and Governance - Summary - MDSpire

Personal Health Large Language Models and the Negotiation of Medical Authority in Clinical Care: Opportunities, Risks, and Governance

  • By

  • Wenyi Xie

  • Jialin Liu

  • Siru Liu

  • June 25, 2026

  • 0 min

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Objective:

To analyze how personal health large language models (PH-LLMs) may reshape the negotiation of medical authority and propose a clinical governance framework that preserves safety, accountability, and trust.

Approach:
  • Governance Framework: The viewpoint proposes governance strategies across three domains: evidence and provenance, clinical arbitration and workflow integration, and competence and accountability, focusing on how these strategies can be effectively implemented in clinical settings.
Key Findings:
  • PH-LLMs differ from traditional EHR-tethered AI by being initiated by patients and not governed by health systems.
  • Current PH-LLMs may be vulnerable to data shift, temporal-reasoning limitations, and hallucination.
  • The shift to a triadic model may support chronic disease self-management but introduces risks such as epistemic conflict and privacy concerns.
Interpretation:

The viewpoint emphasizes the need for a governance framework to manage the integration of PH-LLMs in clinical practice while ensuring safety and accountability.

Limitations:
  • The analysis is conceptual and governance-oriented, lacking empirical validation.
  • Projections of future outcomes depend on governance design and institutional adoption.
Conclusion:

The proposed shift in clinician-patient-PH-LLM relationships presents emerging governance concerns that require further empirical evaluation.

Sources:

Original Source(s)

Personal Health Large Language Models and the Negotiation of Medical Authority in Clinical Care: Opportunities, Risks, and Governance

  • by Wenyi Xie, Jialin Liu, Siru Liu

  • June 25, 2026

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