AdventHealth has implemented OpenAI's ChatGPT for Healthcare across its hospital system, aiming to alleviate administrative burdens on clinicians and improve operational workflows. The move seeks to automate time-intensive documentation and support tasks, allowing care teams to dedicate more time directly to patients.
The health system, which operates in nine states and serves millions annually, faces common challenges including tight margins, increasing demand, and complex administrative processes. These pressures often translate into extensive daily tasks for staff. For instance, physician advisors reviewing cases for utilization management typically spend about 10 minutes per case, navigating multiple steps from reading charts to drafting rationales. Such time commitments accumulate significantly across thousands of cases.
Administrative teams in finance, HR, and IT also dedicate considerable time to drafting documents and summarizing information. This leads to what leaders describe as a "constant operations mode," limiting capacity for higher-value work. Employees had already begun experimenting with chatbots, even as formal policies initially restricted their use.
Scaling AI Adoption Across the System
AdventHealth leadership determined early on that isolated pilot programs would not drive meaningful change. The central objective became consistent, safe AI use across its large workforce. "The hardest part of AI in healthcare is getting humans to use it safely, consistently, and at scale," said Rob Purinton, Chief AI Officer at AdventHealth. The organization decided to treat adoption itself as the primary product.
This approach shaped the rollout. Leaders framed AI not as automation, but as a tool to reduce administrative burden and return time to clinicians and staff. "We don't talk about AI as automation. We talk about time back," Purinton stated. The system tracks messages per user per business day as a key performance indicator, monitored like any other operational metric.
Enterprise-Grade AI for Healthcare
AdventHealth has implemented OpenAI's ChatGPT for Healthcare across its hospital system, aiming to alleviate administrative burdens on clinicians and improve operational workflows.
To scale usage, AdventHealth leveraged domain-based peer groups rather than centralized training. Finance teams collaborated with other finance teams, and HR with HR, sharing prompts and best practices relevant to their specific functions. As the organization transitioned from experimentation to enterprise deployment, it prioritized tools meeting healthcare requirements for privacy, governance, and reliability.
"We chose OpenAI because we weren't looking for a demo. We were looking for enterprise infrastructure," Purinton explained. The reasoning capabilities, structured outputs, and governance controls offered confidence in scaling the technology responsibly. AdventHealth adopted ChatGPT Enterprise and subsequently ChatGPT for Healthcare, which provides additional safeguards for regulated environments, including data protections and compliance support.
Using ChatGPT for Healthcare, physician advisors can now generate structured summaries of patient charts, surface relevant clinical details, and draft initial rationales. Clinicians retain final judgment, but the time spent assembling information decreases. The organization measures impact using system-level data, including timestamps in electronic health records, to quantify improvements and assess statistical significance.
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