How to overcome AI Adoption Barriers in Hospitals With: Pelu Tran
In this full interview, Pelu Tran, CEO of Ferrum Health, explores the complex realities of AI governance in healthcare and how hospitals can navigate the tension between innovation, security, and regulatory compliance. Tran discusses the technical, clinical, and business barriers to AI adoption, from vendor-cloud mistrust to the high costs of deploying and maintaining AI solutions. He explains why governance platforms are essential for ensuring AI models perform safely across diverse patient populations, and how middleware infrastructure can help hospitals integrate and manage AI at scale. This conversation offers actionable insights for leaders facing AI adoption bottlenecks.
Episode Contents:
About the Guest
Pelu Tran is the CEO of Ferrum Health, a company focused on enabling safe, scalable AI adoption in healthcare through governance and orchestration solutions.
Key Takeaways
- Governance ensures AI performance and patient safety
- Vendor-cloud mistrust slows AI adoption in hospitals
- Middleware enables scalable, secure AI integration
Transcript Summary
Q: Why is AI governance critical in healthcare?
A: Governance ensures transparency, bias management, and safe deployment of AI tools across populations.
Q: What are the main adoption barriers?
A: Legacy systems, high vendor onboarding costs, data security concerns, and evolving regulations.
Q: How can hospitals scale AI safely?
A: Use middleware platforms to deploy models within secure, client-controlled environments.
Q: What role does regulation play?
A: Current FDA rules limit continuous learning, requiring governance to ensure sustained performance.
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.