Grand Challenges in Healthcare AI with Vijay Pande and Julie Yoo

In this episode, Julie and Vijay discuss the transformative potential of AI in the healthcare industry, an area traditionally resistant to technological adoption.
They dive into the grand challenges facing healthcare AI builders and explore the immediate and long-term impacts AI could have on healthcare.
Topics covered:
00:00 - Introduction to the potential of AI in healthcare
00:16 - Immediate impacts of AI: Technology and human adoption
01:36 - Addressing labor shortages and technology burdens in healthcare
02:50 - The importance of behavior change and scaling proven solutions
04:14 - Use cases for AI in healthcare: Administrative and clinical applications
06:08 - Automating revenue cycle management and payment flows
08:08 - Enhancing healthcare scheduling and reducing waste
10:16 - The role of AI in optimizing healthcare systems
11:36 - Integrating AI into electronic health records (EHR) for better patient stories
13:40 - The potential of AI co-pilots for doctors and nurses
16:18 - Regulatory considerations for AI in healthcare
18:14 - The concept of an AI doctor and the future of AI in clinical decision-making
20:40 - Always-on clinical trial infrastructure powered by AI
Resources:
Find Julie on X: x.com/julesyoo
Find Vijay on X: x.com/vijaypande
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[@be4discovery]

Three years ago I started talking about a potential paradigm shift in doing clinical trials. The traditional way is like digging a well, getting some water, and then abandoning the well for each trial. In the future, data will flow like a river, and each clinical trial is just getting some water from this river. This seems to be what the 'always-on clinical trial' is about. I can't wait to see it happen.

[@dumisamarafu8543]

I love this podcast. One day I will run my investment holing company based in South Africa.

[@petersuvara]

The grand challenge is figuring out why obesity is increasing. No technology is helping in reducing the impact of increased obesity. It’s a psychological and cultural problem, not a tech or pharmacy problem. Nothing has helped reduce obesity in the last 20 years. Just look at the stats.