Innovation is moving at breakneck speed right now. As AI agents begin entering healthcare workflows, that momentum brings incredible opportunity and very real risk. We sat down with David Trier, CEO at ModelOp, to talk about why traditional oversight and manual workflows can’t keep up with the pace of agentic AI.
Every department, from radiology to nursing to operations, is exploring how AI can improve workflows and decision-making. But when the stakes involve patient care, safety, and regulatory scrutiny, providers can’t afford to get it wrong.
Healthcare organizations need strong governance processes in place to safely scale AI across teams and use cases. Thoughtful guardrails can allow innovation to move fast without putting patients at risk.
In this conversation, we explore:
- How AI influences patient outcomes and why missteps have serious clinical implications
- How AI driven decisions ripple across care teams and healthcare delivery
- Breaking down organizational and operational barriers that stall AI adoption
- How rapid demand for AI tools overwhelms traditional review workflows and slows innovation
- The essential components of a repeatable, efficient governance framework
- Why AI oversight must be dynamic, ongoing, and adaptable to change
- Strategies that allow organizations to innovate fast without sacrificing oversight
- How automation and intelligent workflows can transform AI approval and monitoring
- Why a unified approach works across clinical, operational, and administrative use cases
Find Dave's work at https://www.modelop.com/
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