Integrating AI into Healthcare Delivery - On Tech Ethics

On Tech Ethics with CITI Program

Discusses the responsible integration of AI into healthcare delivery.

Our guest today is Dr. Yauheni Solad who is a Managing Partner at Dalos Partners, leading healthcare AI strategy and validation. Dr. Solad is a research affiliate at Yale University and a board-certified physician in clinical informatics. He formerly led digital health innovation at UC Davis Health and Yale, advancing FHIR interoperability, telemedicine, and responsible AI standards.

Additional resources:

• ReAligned Healthcare podcast: https://realignedhealthcare.com/
• Journal of the American Medical Informatics Association: https://academic.oup.com/jamia
• The Lancet Digital Health: https://www.thelancet.com/journals/landig/home
• Deep Medicine: https://dl.acm.org/doi/10.5555/3350442
• Request for Information on the Development of an AI Action Plan: https://www.federalregister.gov/documents/2025/02/06/2025-02305/request-for-information-on-the-development-of-an-artificial-intelligence-ai-action-plan
• WHO Harnessing AI for Health: https://www.who.int/teams/digital-health-and-innovation/harnessing-artificial-intelligence-for-health
• National Academy of Medicine AI and Emerging Technology: https://nam.edu/our-work/key-issues/artificial-intelligence-and-emerging-technology/
• CITI Program’s course catalog: https://about.citiprogram.org/course-catalog

פרקים

1. Integrating AI into Healthcare Delivery - On Tech Ethics (00:00:00)

2. Introduction and Guest Background (00:00:03)

3. Dr. Solad’s Career and Focus (00:01:29)

4. Evolution from Telehealth to Generative AI (00:01:52)

5. Defining Generative AI and Advanced Technologies (00:04:14)

6. Bias and Model Alignment Challenges (00:05:24)

7. Specialized Models and Black Box Concerns (00:07:11)

8. Risks of Public AI Tools in Healthcare (00:09:00)

9. Enterprise AI Compliance and Training (00:09:42)

10. Ensuring Reliability and Human Oversight (00:13:06)

11. Monitoring and Compliance in AI Use (00:14:08)

12. Fostering Innovation in Healthcare AI (00:15:21)

13. Collaboration and Makerspaces for AI Solutions (00:17:03)

14. Integrating AI into Clinical Workflows and Ethical Concerns (00:19:29)

15. AI’s Potential and Human Oversight in Clinical Decisions (00:25:27)

16. Validation, Protocols, and Patient Disclosure (00:27:26)

17. Effective Communication of AI Use to Patients (00:30:40)

18. Explanation of Large Language Models (00:31:45)

19. AI in Prior Authorization and Workflow Automation (00:32:44)

20. Continuous Monitoring and Real-World Validation (00:35:22)

21. Reporting Methods and Targeted Auditing (00:39:01)

22. Ethical Foundations in Healthcare AI (00:41:12)

23. Recommended Resources and Further Reading (00:42:29)

24. The Human Element in AI Integration (00:47:36)

25. Conclusion and Closing Remarks (00:49:14)