How to Scale Oncology AI Safely: AI Governance Lessons from Hope LLM

As AI adoption accelerates in healthcare, the real challenge is no longer proving value. It’s scaling responsibly.

In this episode, Nasim Eftekhari, Chief AI and Analytics Officer at City of Hope, joins Erik Pupo of Guidehouse to unpack how Hope LLM is transforming oncology workflows across care, clinical trials, and research.

Key themes:

• Turning fragmented oncology data into real-time clinical insight
• Reducing clinician burden and reclaiming “pajama time”
• Embedding clinical trial matching into care delivery
• Using AI to improve trial feasibility and patient access
• Accelerating research through real-world evidence

The conversation also explores a critical shift in enterprise AI:

From driving adoption → to implementing governance.

With rising demand from clinicians, AI governance strategy and implementation have become essential to ensure safe, scalable deployment. This episode offers a grounded, real-world perspective on what it takes to operationalize AI in complex, regulated environments.

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