AdventHealth Expands ChatGPT for Healthcare Use

A task that once took a clinician 10 minutes now takes two. AdventHealth is deploying ChatGPT for Healthcare across its nine-state hospital network and framing the gains not as automation, but as reclaimed time for patient care.

Administrative Burden Was Already at a Breaking Point

AdventHealth serves millions of patients annually and, like most large health systems, runs on tight margins with growing operational complexity. Physician advisors handling utilization management cases faced a multi-step process for every chart review: reading records, identifying clinical details, checking criteria, and drafting structured rationales. Multiply that across hundreds of cases each week and the hours accumulate fast.

The burden wasn't limited to clinical roles. Finance, HR, and IT teams spent significant time drafting documents, summarizing data, and preparing materials necessary work, but work that left little room for anything else. According to the OpenAI case study on AdventHealth , leaders described the environment as "constant operations mode."

Employees were already experimenting with AI tools on their own, even as formal policy restricted it. "We had folks who were eager to start, but there were a very large number of people who were on the sidelines," said Rob Purinton, Chief AI Officer at AdventHealth. "They weren't sure how to use AI effectively in their daily jobs."

Why AdventHealth Treated Adoption as the Product

Rather than running isolated pilots, leadership made a deliberate strategic call: adoption itself would be the measurable outcome. The rollout avoided automation-first messaging entirely.

"We don't talk about AI as automation. We talk about time back," Purinton said. The organization tracks AI usage as a formal KPI messages per user per business day, monitored and reviewed alongside other operational metrics.

Scaling happened through domain-specific peer groups rather than centralized training. Finance teams shared prompts and workflows with other finance teams. HR did the same within HR. That structure kept adoption practical and relevant rather than abstract.

When it came to choosing a platform, AdventHealth selected ChatGPT Enterprise and later upgraded to ChatGPT for Healthcare, which added compliance safeguards and data protections suited to regulated clinical environments. "We weren't looking for a demo. We were looking for enterprise infrastructure," Purinton said.

What the Results Look Like in Practice

In utilization management, ChatGPT for Healthcare helps physician advisors generate structured chart summaries and draft initial rationales. Clinicians retain full responsibility for final decisions, but the time spent assembling information drops sharply. AdventHealth measures this using EHR timestamps not self-reported estimates to confirm that time savings are statistically significant.

Across departments, the pattern repeats: first-draft documents replace blank pages, unstructured notes get compressed into action steps, and policies get converted into usable formats faster. The organization reports fewer revision cycles and more consistent outputs as a direct result.

AdventHealth reports an 80% reduction in time spent on certain administrative tasks. Purinton put the scale of that into concrete terms: "If you take a 10-minute task and make it two, and that happens a thousand times a week, that's real capacity."

One physician, previously spending evenings finishing documentation from home, now completes that work during regular hours. "He was leaving work at work," Purinton said. That kind of individual-level shift is what AdventHealth's leadership points to when describing the mission case for clinical workflow automation.

The health system is now expanding into patient access, clinical decision support, and new care delivery models with the same emphasis on governance and measurable trust. The broader lesson from leadership: scaling AI has less to do with the technology and more to do with how it is introduced. "When you measure it, prove value and lead with trust," Purinton said, "that's when you get beyond pilots."

Source: OpenAI — AdventHealth Case Study