Practical Uses of AI in Research - On Research Podcast

On Research - with CITI Program

Join us for a deep dive into the world of AI and its practical applications in the world of research operations. Charlie Fremont, an EHR application analyst specializing in research operations and billing, discusses how AI technology has helped him create new workflows that have vastly improved processes. Not only does he share details around how he uses this technology, he also shares valuable insight into the limitations and potential risks of using these tools. We also discuss AI’s impact on productivity in general and sorting through the proper balance of efficiencies with compliance.

Additional Resources:

• The AI Risk Repository: A Comprehensive Meta-Review, Database and Taxonomy of Risks from AI - https://arxiv.org/abs/2408.12622
• Deloitte Report – How Generative AI can reshape the health frontier - https://www2.deloitte.com/content/dam/Deloitte/us/Documents/life-sciences-health-care/us-from-code-to-cure-1.pdf
• Learn more about HRP Consulting: https://thehrpconsultinggroup.com/
• Learn more about CITI Program at about.citiprogram.org.

Guest Bio: Charlie Fremont is an Epic EHR Application Analyst and independent consultant with extensive research and billing experience. With 15 years in the healthcare industry and 10 years in research, Charlie specializes in leveraging technologies such as ChatGPT, Python, and Excel Formulas/VBA. Charles has successfully implemented solutions that streamline workflows and improve operational efficiency, which he shares openly with colleagues in our research industry.

章节

1. Practical Uses of AI in Research - On Research Podcast (00:00:00)

2. Podcast Introduction (00:00:26)

3. Charlie's Journey into Research (00:02:20)

4. Defining AI Terms (00:04:14)

5. Generative AI vs. Predictive AI (00:06:09)

6. AI Adoption in Research (00:07:20)

7. Real-Life Applications of Generative AI (00:08:35)

8. Generative AI in Research Building (00:09:30)

9. Challenges of AI Adoption (00:09:57)

10. Using Generative AI for Coding (00:10:19)

11. Bridging IT and Research (00:12:40)

12. Everyday Applications of AI (00:14:01)

13. Understanding ChatGPT (00:16:02)

14. Verifying Information from AI (00:16:30)

15. Caution with AI Use (00:19:08)

16. AI’s Cultural Integration (00:20:04)

17. Limitations of AI in Research (00:21:08)

18. The Importance of AI Adoption (00:21:31)

19. Risks of Using Generative AI (00:22:27)

20. Data Confidentiality in AI Tools (00:23:09)

21. Institutional Policy and Compliance (00:24:28)

22. Using AI for Secure Data Handling (00:25:56)

23. Generative AI and Cognitive Dependency (00:28:26)

24. Shifting Roles with AI Integration (00:30:26)

25. Collaboration Between Experts and AI (00:32:04)

26. Finding Balance in AI Capabilities (00:35:12)

27. Deep Work vs. Shallow Work (00:38:23)

28. Preventing Burnout with AI Tools (00:40:25)

29. The Challenges of Clinical Research (00:41:22)

30. AI's Role in Reducing Workload (00:42:05)

31. Real-Life Applications of AI (00:43:58)

32. Same Team Segment: Connecting with Purpose in Research (00:44:40)

33. Closing Remarks and Podcast Promotion (00:46:53)