AI Governance in Healthcare Explained with Brian Green and Donna Mitchell

Pivoting to WEB3

Can AI Actually Help Healthcare—Without Crossing the Line?
In this episode of Pivoting to Web3, I sat down with Brian Green, the Chief AI Ethics Officer and Founder of Health Vision AI, to talk about something big: how AI is changing healthcare—and why ethical guardrails are more important than ever.
He started as a social scientist in public health, and now he’s at the forefront of AI governance. We talked about the real risks and rewards of AI in healthcare, how we can build better systems without losing the human touch, and what responsible innovation should really look like.
Key Takeaways:
AI in Healthcare: Where Ethics Meets Innovation
Brian Green’s journey from public health to AI governance
How AI is used to improve healthcare outcomes
Importance of defining business problems before adopting AI
Key elements of ethical AI governance frameworks
Addressing bias and health disparities in machine learning
Ensuring patient consent and transparency in AI use
Readiness assessments for organizations exploring AI
The role of explainability in building trust
Using ethically sourced, culturally aware datasets
Looking to global standards like the EU AI Act and Coalition for Health AI

Visit [mitchelluniversalnetwork.com](https://mitchelluniversalnetwork.com) for more updates.

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About Brian Green:

- Deep experience and comfort in cross-functional team leadership serving customers in health communications, health analytics, and digital media & marketing operations. A thought leader in Responsible AI, AI governance, use-case development & organizational readiness for AI solutions.
- Adept at public speaking, presentations, and written communications, and ability to synthesize and communicate complex medical and technical information to various audiences.
- Demonstrated strategic and analytical skills and the ability to research and understand the needs and requirements of competitive business landscapes to facilitate innovation and change.
-Subject matter expertise in Oncology, Immunology, Cardiovascular, and Rare Diseases.

Connect with BRIAN GREEN:
Website: https://health-vision.ai/
Email: [email protected]
Connect with Donna Mitchell:
Podcast - https://www.PivotingToWeb3Podcast.com
Book an Event - https://www.DonnaPMitchell.com
Company - https://www.MitchellUniversalNetwork.com
LinkedIn: https://www.linkedin.com/in/donna-mitchell-a1700619
Instagram Professional: https://www.instagram.com/dpmitch11
Twitter/ X: https://www.twitter.com/dpmitch11
YouTube Channel - http://Web3GamePlan.com

What to learn more: Pivoting To Web3 | Top 100 Jargon Terms

Kapitel

1. Research Challenges in Public Health (00:00:00)

2. Online Engagement Model Development (00:04:23)

3. Clarifying AI's Business Purpose (00:09:24)

4. Identifying Key AI Stakeholders (00:11:49)

5. AI Implementation Readiness Factors (00:16:13)

6. Readiness Assessment and Implementation Roadmap (00:18:30)

7. AI Governance in Healthcare (00:23:05)

8. Multidisciplinary AI Strategy in Healthcare (00:25:36)

9. AI Governance in Healthcare: Critical Lessons (00:31:14)

10. AI Governance & Compliance Challenges (00:34:00)

11. AI Oversight via Public-Private Partnerships (00:37:36)

12. Cost-Effective Data Model Management (00:41:01)

13. AI Explainability in Healthcare (00:43:34)

14. Informing Patients About AI Usage (00:47:07)

15. Ethical Approach in Patient Care (00:51:28)

16. 360-Degree Healthcare Perspective (00:55:23)

17. Shaping Tomorrow: Health Vision AI (00:57:16)