Integrating AI into Healthcare Delivery - On Tech Ethics

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

• 0:03 Introduction and Guest Background
• 1:29 Dr. Solad’s Career and Focus
• 1:52 Evolution from Telehealth to Generative AI
• 4:14 Defining Generative AI and Advanced Technologies
• 5:24 Bias and Model Alignment Challenges
• 7:11 Specialized Models and Black Box Concerns
• 9:00 Risks of Public AI Tools in Healthcare
• 9:42 Enterprise AI Compliance and Training
• 13:06 Ensuring Reliability and Human Oversight
• 14:08 Monitoring and Compliance in AI Use
• 15:21 Fostering Innovation in Healthcare AI
• 17:03 Collaboration and Makerspaces for AI Solutions
• 19:29 Integrating AI into Clinical Workflows and Ethical Concerns
• 25:27 AI’s Potential and Human Oversight in Clinical Decisions
• 27:26 Validation, Protocols, and Patient Disclosure
• 30:40 Effective Communication of AI Use to Patients
• 31:45 Explanation of Large Language Models
• 32:44 AI in Prior Authorization and Workflow Automation
• 35:22 Continuous Monitoring and Real-World Validation
• 39:01 Reporting Methods and Targeted Auditing
• 41:12 Ethical Foundations in Healthcare AI
• 42:29 Recommended Resources and Further Reading
• 47:36 The Human Element in AI Integration
• 49:14 Conclusion and Closing Remarks