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On Tech Ethics with CITI Program
Discusses a broad range of technology ethics topics. Hosted by Daniel Smith, Associate Director of Content and Education at CITI Program. New episodes every month. Learn more at about.citiprogram.org.
On Tech Ethics with CITI Program
Integrating AI into Healthcare Delivery - On Tech Ethics
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CITI Program
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Season 1
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Episode 33
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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
Introduction and Guest Background
Dr. Solad’s Career and Focus
Evolution from Telehealth to Generative AI
Defining Generative AI and Advanced Technologies
Bias and Model Alignment Challenges
Specialized Models and Black Box Concerns
Risks of Public AI Tools in Healthcare
Enterprise AI Compliance and Training
Ensuring Reliability and Human Oversight
Monitoring and Compliance in AI Use
Fostering Innovation in Healthcare AI
Collaboration and Makerspaces for AI Solutions
Integrating AI into Clinical Workflows and Ethical Concerns
AI’s Potential and Human Oversight in Clinical Decisions
Validation, Protocols, and Patient Disclosure
Effective Communication of AI Use to Patients
Explanation of Large Language Models
AI in Prior Authorization and Workflow Automation
Continuous Monitoring and Real-World Validation
Reporting Methods and Targeted Auditing
Ethical Foundations in Healthcare AI
Recommended Resources and Further Reading
The Human Element in AI Integration
Conclusion and Closing Remarks
