Digital Twins, Data Ownership, and Health Equity With: Jason Alan Snyder
Jason Alan Snyder explores two possible futures for big data in healthcare: a dystopia where patients lose all agency and a utopia where digital twins empower individuals. In the dystopian scenario, consent is reduced to a checkbox, algorithms trained on flawed data determine access to care, and patients have no visibility into decisions. In contrast, the utopian vision puts patients in control of their data, with digital twins serving as personal advocates that guide care, warn early, and even generate income. Snyder argues that achieving this future requires courage, will, and—most importantly—better healthcare data quality as the foundation for trustworthy AI tools.
Episode Contents:
About the Guest
Jason Alan Snyder is a Futurologist, Inventor, and Technologist exploring the intersection of data, AI, and healthcare. Learn more at: https://www.evilrobot.com/
Key Takeaways
- In a dystopia, patients lose agency and data control without realizing it.
- In a utopia, digital twins advocate for patient health and equity.
- Better data quality is the foundation for trustworthy AI healthcare tools.
Transcript Summary
What is the dystopian future of big data in healthcare?
People unknowingly give up identity, agency, and data, with algorithms deciding access to care and profit.
What is the utopian vision?
Patients own their data, control permissions, and use digital twins to guide and personalize care.
How do we get there?
By improving healthcare data quality and building systems that prioritize equity, personalization, and prevention.
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.