Can Predictive AI and Wearables Transform Preventive Care? With: Jordan Johnson, MSHA
In this short but insightful exchange, Jordan Johnson, MSHA, founder of Bridge Oncology, explains why predictive AI combined with wearable technology could radically shift the foundation of medicine. Historically, medicine has focused on treating symptoms that patients report. But with real-time data from wearables and the pattern recognition power of AI, healthcare is inching toward predicting disease progression before symptoms surface. Johnson and Dr. Sanjay Juneja explore how CMS policies, remote patient monitoring, and machine learning create a new paradigm in preventive care. This conversation exemplifies how predictive AI in healthcare and advances in wearable tech are not just tools—they’re catalysts for structural transformation.
Episode Contents:
About the Guest
Jordan Johnson is the founder and principal of Bridge Oncology. He specializes in operational and data solutions that protect oncology care viability and expand patient access. LinkedIn: https://www.linkedin.com/in/jordan-johnson-msha-m-jurr-mls-7bb49441/
Key Takeaways
- Predictive AI can identify health issues before symptoms appear
- CMS is enabling innovation with reimbursement for remote monitoring
- Wearables allow real-time tracking of thousands of health variables
Transcript Summary
Why is predictive AI combined with wearables so transformative in healthcare?
Dr. Juneja explains that wearables provide a continuous data stream, capturing subtle changes in heart rate, respiratory rate, and other vitals. AI analyzes thousands of these data points to detect patterns, enabling early detection and preventive action—sometimes before any symptoms appear.
How does this differ from traditional medical approaches?
Jordan Johnson highlights that this is a complete departure from the historical medical model, which is reactive. Instead of waiting for symptoms, predictive tools can flag issues proactively. He emphasizes that while the current system is functioning as designed, these new tools demand a new framework.
Are health systems supporting this transition?
Yes, Johnson notes that CMS is embracing change through reimbursement for remote monitoring, suggesting a policy shift toward more proactive, data-driven care.
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.