Balancing Patient Privacy and Profits in Healthcare Data With: Dr. Debra Patt
In this insightful discussion, Dr. Debra Patt explores the nuanced balance between patient privacy, data monetization, and the transformative role of AI in healthcare. She highlights that while individual patient records hold limited value, aggregated, de-identified data can drive significant medical advancements, such as expanding drug indications through real-world evidence. Dr. Patt also addresses the challenges posed by electronic health record (EHR) systems, noting their limitations as billing-focused tools that often fail to capture accurate clinical data in real time. For AI to truly revolutionize healthcare data use, she argues, both technology and clinical workflows must evolve together.
Episode Contents:
About the Guest
Dr. Debra Patt is EVP of Policy and Strategy at Texas Oncology and Chair of the AI Taskforce at ASCO. Learn more at: https://www.linkedin.com/in/debrapattmd/
Key Takeaways
- Aggregated data drives meaningful healthcare insights.
- EHR data is imperfect and needs better structure.
- AI adoption requires both tech and human process changes.
Transcript Summary
How should patient data be handled in healthcare monetization?
Patients should have access to their own data, but aggregation of de-identified records is where real value lies, enabling research and regulatory advancements.
What are the challenges with EHR data quality?
EHRs are built for billing, not research, and clinical data often changes over time, making accuracy difficult without better tools.
How does AI fit into healthcare data use?
AI can improve efficiency and patient care, but organizations must adapt workflows to fully benefit from it.
More Topics
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
- AI in Patient Care
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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.