A reporter with The Journal Record in Oklahoma City, Sam Royka, recently asked a simple question: what does it look like when AI actually works inside an urgent care visit? The answer is playing out at AllSet Urgent Care, part of INTEGRIS Health, where automated intake has cut average visit times from roughly an hour, the national norm, down to 28 minutes.
The platform behind it is Intellivisit, the clinical AI engine inside UCP Merchant Medicine’s Modern Urgent Care model. As a team member enters patient answers, Intellivisit generates notes, builds a list of up to 20 adaptive follow-up questions, proposes medical leadership approved and customized standing orders, and surfaces possible diagnoses before the provider walks in. The provider reviews the summary, keeps or adjusts the course, and moves on. In practice, that workflow saves providers roughly half their time through the AI interview, pre-ordered diagnostics, and documentation that writes itself into the EMR.
What makes that work is design, not just software. Intellivisit is built around a human in the loop. Clinicians can see what the system considered and why it made each recommendation, and they retain full authority to change the plan. As one nurse practitioner at AllSet quoted in the article put it, “[Intellivisit] doesn’t replace what the providers do, but it makes our processes more efficient.” She also states, “everything that we do has been thought out to be all about efficiency, we spend more time listening than we do trying to generate a note.”
That is the real point. Speed is not the goal. Speed is what happens when an integrated operating model and clinical AI are engineered together: standardized workflows, diagnostics moving earlier, documentation handled in real time, and providers freed to focus on the patient in front of them. This is what separates modern, integrated urgent care from legacy retail clinics, a connected front door for the health system rather than a faster sign on the same old model.
The article also raised the legitimate questions facing all clinical AI, from algorithmic bias to lighter federal oversight. Those concerns are exactly why the human-in-the-loop principle matters. Transparency and physician authority are not features bolted on at the end. They are the foundation the platform is built on.
Read the full story from The Journal Record: Oklahoma urgent care taps AI to cut wait times
Image: AllSet Urgent Care is shown at its location on Robinson Ave near Midtown Oklahoma City. (Photo/Sam Royka, The Journal Record)
