Who Is Responsible for AI Decisions in Healthcare? With: Bob Battista
Bob Battista draws parallels between liability in self-driving cars and AI in healthcare, suggesting that true transformation will come when patients can self-drive their own care. He argues that by giving patients access to their health data and enabling AI to process it, individuals can make informed decisions about treatment options without overburdening clinicians. This shift could reduce liability concerns while also accelerating the sharing of patient knowledge, allowing newly diagnosed individuals to start their care journey armed with the best available insights.
Episode Contents:
About the Guest
Bob Battista is Special Advisor at EntityRisk, focused on data governance, AI, and patient-centered healthcare innovation. Learn more at: https://www.linkedin.com/in/bob-battista-ceo/
Key Takeaways
- AI in healthcare should give patients agency over their own decisions.
- Liability concerns shift when patients can self-drive routine care.
- AI can share collective patient knowledge to speed learning curves.
Transcript Summary
Who is responsible for AI decisions in healthcare?
Liability changes when AI puts agency back into the patient’s hands, enabling self-driven routine care.
How does patient agency work in this model?
Patients could choose between treatments or care paths using AI that processes their own health data.
What’s the broader impact?
AI can share anonymized patient experiences to accelerate learning for newly diagnosed individuals.
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.