Rajeev Ronanki on Incentives for Patient Data With: Rajeev Ronanki
Rajeev Ronanki, CEO of Lyric, explores the complex issue of data sharing in healthcare and how patients might be rewarded for contributing their information. He highlights the gap between resource-rich academic medical centers and community practices that lack infrastructure for data collection. Ronanki envisions a future where AI tools become affordable and ubiquitous, allowing every patient to have access to digital twins of their physicians embedded in mobile apps. These AI agents could provide 24/7 support, answer side-effect questions, and personalize care. He stresses the need for reimbursement models—such as royalties or shared savings—to fairly compensate both physicians and patients who share data, ensuring that community practices can benefit alongside large institutions.
Episode Contents:
About the Guest
Rajeev Ronanki is CEO of Lyric, where he leads efforts to develop ethical and responsible AI solutions for healthcare. He focuses on creating ecosystems that empower patients, improve equity, and reward data sharing to drive better outcomes.
Key Takeaways
- AI tools could democratize care across community and academic centers
- Digital twin agents allow 24/7 personalized patient support
- Reimbursement models must reward patients and physicians for shared data
Transcript Summary
How can patients be rewarded for sharing data?
By creating reimbursement models—like royalties—that ensure shared benefits.
How does AI make this possible?
Affordable tools and physician digital twins embedded in patient apps can provide personalized 24/7 support.
Why is this important for equity?
It allows community practices to benefit alongside academic centers, democratizing access to insights.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.