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HIMSSCast: Adopting AI with purpose as a health system

Dr. Bill Fera, genAI leader for life sciences and healthcare at Deloitte Consulting, relays how governance, trust and human oversight are essential to scaling AI responsibly.
By Jessica Hagen , Executive Editor
Stethoscope resting on tablet

Photo: Tetra Images/Getty Images

Successful AI adoption in healthcare requires intentional strategy rather than experimentation, according to Dr. Bill Fera, genAI leader for life sciences and healthcare at Deloitte Consulting.

There needs to be a push toward AI transparency and openness, at a minimum auditability, so users can understand how AI tools are performing, Fera said. Providers will only trust the AI if they understand what it is doing within their workflow and why it produces a given output.

"There is absolutely a tension between wanting to protect intellectual property and wanting to provide that openness. I don't think we've figured out how to solve for that tension yet, but we still have to keep pushing on it," Fera said.

To learn more about Deloitte's view on the necessity of AI guardrails, listen to the full conversation between Dr. Fera and Jessica Hagen, executive editor of MobiHealthNews.

 

 

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Talking points:

  • AI's effect on the healthcare workforce
  • Establishing frameworks for accountability
  • AI transparency
  • Validating AI results with clinicians
  • Promising technologies risk limited adoption

More about this episode:

Q&A: Deloitte on AI transparency and the future of computer vision in healthcare

Executive predictions for healthcare AI in 2026, Part 2

Q&A: AWS on new AI agents, quantum computing in healthcare

Executives discuss AI reshaping the healthcare workforce, Part 1

Q&A: Former U.S. chief technology officer Aneesh Chopra on AI in healthcare

Email the writerjhagen@himm.org