How AI Can Tailor Clinical Guidelines in Real Time With: Bob Battista
Bob Battista explains how AI can transform healthcare decision making by creating personalized treatment guidelines in real time. By integrating patient chart data with the vast body of published clinical evidence, AI can identify the most effective treatment paths for each individual. While access to proprietary data inside pharmaceutical companies could further enhance these capabilities, even existing public data offers tremendous potential. Battista emphasizes that applying best practices earlier in the care process could improve outcomes and save significant costs, especially if tailored to at-risk patients.
Episode Contents:
About the Guest
Bob Battista is Special Advisor at IMHE (healthdata.org), focused on leveraging data and AI to improve healthcare decision making. Learn more at: https://www.linkedin.com/in/bob-battista-ceo/
Key Takeaways
- AI can dynamically tailor treatment guidelines to individual patient histories.
- Access to secure, proprietary data would greatly expand AI’s usefulness.
- Earlier application of best practices could save significant healthcare costs.
Transcript Summary
How is AI changing healthcare decision making?
AI excels at processing clinical evidence and can tailor guidelines in real time based on patient history.
What limits AI’s effectiveness?
Much valuable data sits behind secure firewalls in pharma companies and isn’t accessible to LLMs.
What’s the potential benefit?
Applying evidence-based best practices earlier could improve outcomes and reduce costs.
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.