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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
Chapters
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)
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