Patients who vanished between visit three and visit eight
The problem. A three-clinic physical therapy group had full schedules and a quiet problem: a large share of patients stopped coming halfway through their plan of care. They felt a bit better, missed one visit, never rebooked, and the clinic found out weeks later when the authorization expired. The front desk had no way to see who was drifting until they were gone, and no time to chase them if they had.
What we built. A drop-off signal built on the clinic's own scheduling and attendance data, combined with the plan of care: it flags each patient's risk of not finishing days before the missed visit, not after. A follow-up assistant that reaches each flagged patient in their own language, explains in plain words where they are in their plan and why the next visits matter, and lets them rebook in one tap. An authorization tracker that tells both patient and clinician how many approved visits remain, so nobody is surprised. Anything that needs a human (pain, confusion, a complaint) goes straight to the front desk with context.
What changed. The clinics started catching the drift before the patient disappeared, and most rebooked when asked properly and early. Clinicians stopped losing track of authorizations, and patients stopped being blindsided by them. The front desk worked from a short daily list of people who needed a human call, instead of a long list of people who had already gone.