AdventHealth advances whole-person care with OpenAI

AdventHealth is deploying ChatGPT for Healthcare to reduce administrative burden and streamline clinical workflows across its system. By automating time-intensive documentation and support tasks, care teams are reclaiming hours each week and allowing clinicians to focus more directly on patients. The result is not just operational efficiency, but expanded clinical capacity, faster access to care, and a measurable improvement in the patient experience.

AdventHealth is a hospital system operating across nine states, serving millions of patients each year. Like many large health systems, it faces tight margins, growing demand and increasing administrative complexity.

Much of that pressure shows up in day-to-day workflows. Physician advisors reviewing cases for utilization management often spend about 10 minutes per case, not on a single task but on a sequence of steps: reading charts, identifying relevant details, checking criteria and drafting structured rationales. Across hundreds or thousands of cases, that time adds up quickly.

One of the earliest and most measurable use cases was utilization management.

AdventHealth evaluates AI impact across two primary dimensions: adoption and workflow performance.

On the workflow side, pilots are evaluated using throughput metrics such as time per task, turnaround time and volume handled. In utilization management, the goal is to reduce review time while maintaining quality and consistency.

AdventHealth adopted ChatGPT Enterprise and later ChatGPT for Healthcare, which provided additional safeguards for regulated environments, including data protections and compliance support.

The organization is now focusing on expanding into areas such as patient access, clinical decision support and new care delivery models, while maintaining the same emphasis on governance, measurement and trust.

The burden extends beyond clinical roles. Teams in finance, HR, IT and other functions spend significant time drafting documents, summarizing information and preparing materials that are necessary but time-consuming. As a result, many operate in what leaders describe as “constant operations mode,” with limited capacity for higher-value work.

At the same time, interest in AI was already emerging inside the organization. Employees were experimenting with chatbots, even as formal policies restricted their use.

“We had folks who were eager to start, but there were a very large number of people who were on the sidelines,” says Rob Purinton, Chief AI Officer at AdventHealth. “They weren’t sure how to use AI effectively in their daily jobs.”