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Related Experiment Videos

The governance gap no one is solving.

Charles DeShazer1

  • 1Managing Partner, Nuvanta Consulting Group, 6800 Wisconsin Ave Suite #1230 Chevy Chase, MD 20815.

Journal of the National Medical Association
|April 28, 2026
PubMed
Summary

Clinical artificial intelligence (AI) governance needs practical, clinician-centered models for community settings. This approach ensures safe AI use, promotes equity, and supports physicians in integrating AI effectively.

Keywords:
AI governanceArtificial intelligenceClinical SafetyCommunity practiceHealth equity

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Area of Science:

  • Clinical Informatics
  • Healthcare Management
  • Medical Ethics

Background:

  • Artificial intelligence (AI) is increasingly adopted in clinical practice, but governance frameworks lag behind.
  • Current AI governance models, often designed for academic institutions, are impractical for community and safety-net settings.
  • This gap poses risks to safe, ethical, and equitable AI implementation at the frontline.

Purpose of the Study:

  • To reframe AI governance as a clinician-centered enabler rather than a mere compliance burden.
  • To propose a pragmatic AI governance model suitable for community and safety-net clinical environments.
  • To ensure AI adoption supports, rather than hinders, equitable patient care and clinical judgment.

Main Methods:

  • Development of a clinician-centered AI governance model.
  • Incorporation of clear accountability, defined use guardrails, and basic safety/bias checks.
  • Proposal of a scalable hub-and-spoke approach utilizing trusted professional organizations.

Main Results:

  • The proposed model emphasizes transparency and lightweight workflows.
  • It aims to bridge the gap between AI adoption and effective oversight in community settings.
  • Leveraging professional organizations can create a scalable support structure.

Conclusions:

  • Effective AI governance is crucial for preventing the amplification of health disparities.
  • A clinician-centered, pragmatic approach is essential for the safe and equitable integration of AI in diverse healthcare settings.
  • Implementing robust AI governance protects patients, preserves clinical judgment, and ensures AI advances health equity.