AdventHealth announced an 80% reduction in time spent on administrative tasks across its hospital system using OpenAI’s ChatGPT for Healthcare. The system operates in nine states and serves millions of patients.
Rob Purinton, AdventHealth’s Chief AI Officer, said the hardest part of AI in healthcare is “getting humans to use it safely, consistently, and at scale,” and that AdventHealth made an early decision to treat adoption itself as the product. I applaud the initiative. The American healthcare system is broken in ways that have nothing to do with technology, and any deployment that gives clinicians some time back deserves serious attention.
AdventHealth says physician advisors were spending about 10 minutes per case reading charts, identifying details, checking criteria, and drafting structured rationales. With ChatGPT for Healthcare doing the first-pass synthesis, that drops to roughly two minutes per case. The clinician still makes the call. The grunt work goes away.
What separates this deployment from the average healthcare AI press release is that AdventHealth refused to chase pilots. Purinton’s team set adoption as a tracked operational KPI (messages per user per business day, excluding weekends and holidays) and built peer groups by domain rather than running a centralized training program. Finance learned from finance. HR learned from HR. That playbook is industry-agnostic. Whether you run a hospital system, a bank, a media company, or a manufacturer, closing the gap between AI-in-pilot and AI-in-production is a leadership decision, not a technical one.
Every company needs a Claw strategy. Do you have one?
Author’s note: This is not a sponsored post. I am the author of this article and it expresses my own opinions. I am not, nor is my company, receiving compensation for it. This work was created with the assistance of various generative AI models.