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Most hospital systems have made significant AI investments. Few can show what they got for it. In this episode of the Hospital Finance Podcast, Dave Trier, CEO of ModelOp, explains why that gap exists — and what enterprise AI leaders can do to close it.
Dave draws on more than seven years working with large healthcare organizations and other regulated industries to make the case that AI ROI doesn't fail at the model level. It fails at the operating level — when organizations run AI as a cottage industry of one-off experiments instead of a managed, industrialized portfolio.
The conversation covers the three metrics every hospital CFO should track, why governance without enforcement is just a clipboard, and how generative AI and agentic systems compound the operational complexity that most health systems aren't yet equipped to manage. Dave also outlines what will separate hospital systems that successfully scale AI in the next three to five years from those that don't: disciplined, industrialized delivery processes that are ingrained in day-to-day operations — not bolted on after the fact.
The single action Dave recommends for any CFO listening: introduce the enterprise standards that turn ad hoc AI development into a repeatable, traceable, automated process — from initial business-value assessment through production and eventual retirement.
