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Integrating AI into Healthcare Delivery - On Tech Ethics

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Manage episode 487963230 series 3440731
Content provided by CITI Program. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CITI Program or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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:

  continue reading

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)

34 episodes

Artwork
iconShare
 
Manage episode 487963230 series 3440731
Content provided by CITI Program. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CITI Program or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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:

  continue reading

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)

34 episodes

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