A Futures Framework for Clinical AI Governance: Anticipating Emerging Risks, Shifting Roles, and Regulatory Challenges - Report - MDSpire

A Futures Framework for Clinical AI Governance: Anticipating Emerging Risks, Shifting Roles, and Regulatory Challenges

  • By

  • Yi Yang

  • Jialin Liu

  • Siru Liu

  • June 29, 2026

  • 0 min

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Clinical Report: A Strategic Approach to Governance in Clinical AI

Background

The deployment of clinical AI has expanded significantly, necessitating robust governance frameworks to ensure safety and accountability. Current regulatory mechanisms primarily focus on immediate risks, leaving gaps in oversight for long-term changes and evolving clinical functions.

Data Highlights

No numerical data or trial results are presented in the source material.

Key Findings

  • Clinical AI governance must evolve to address both technical and temporal challenges.
  • Existing frameworks are more suited for foreseeable changes rather than the dynamic nature of clinical AI.
  • FF-CAIG integrates futures methodologies to anticipate long-term risks and stakeholder roles.
  • Regulatory frameworks are increasingly recognizing the need for life cycle oversight of AI technologies.
  • Emerging risks include clinician overreliance and fragmentation of governance across jurisdictions.

Clinical Implications

Healthcare organizations should consider the FF-CAIG framework for governance of clinical AI systems.

Conclusion

The integration of futures methodologies into clinical AI governance addresses the complexities of evolving technologies in healthcare.

Related Resources & Content

  1. npj Digital Medicine, 2026 -- Enhancing Governance of Healthcare AI with a Detailed Maturity Model Derived from Systematic Review Findings
  2. Frontiers in Medicine, 2026 -- Editorial: Ethical and Legal Implications of Artificial Intelligence in Public Health: Balancing Innovation and Privacy
  3. Journal of Medical Internet Research (JMIR), 2026 -- Co-Lifecycle Governance for Learning Medical AI: A Hybrid Convergence Framework for Adaptive Regulatory Oversight
  4. Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence-Enabled Device Software Functions | FDA
  5. Journal of Medical Internet Research (JMIR) — From Pilot Trap to Institutional Capacity: A Governance Framework for Sustainable Clinical AI Implementation in Health Systems
  6. Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence-Enabled Device Software Functions | FDA
  7. Generative AI-enabled clinical decision support system in primary care: a pragmatic, cluster-randomized trial | Nature Medicine
  8. https://www.federalregister.gov/documents/full_text/html/2025/09/18/2025-18082.html?utm_source=openai

Original Source(s)

A Futures Framework for Clinical AI Governance: Anticipating Emerging Risks, Shifting Roles, and Regulatory Challenges

  • by Yi Yang, Jialin Liu, Siru Liu

  • June 29, 2026

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