AI Receptionist
AI Receptionist for Physical Therapy Re-Evaluations: Keeping Plans of Care on Schedule
Physical therapy runs on rhythm. A patient booked twice a week loses ground when a session is cancelled and never rebooked, and a re-evaluation that slips by three weeks can stall authorisations and progress notes alike. Most of those slips are phone problems. The patient rang once, got a busy signal, and meant to try again later.
The calls that keep a plan of care moving
Re-evaluation booking is the obvious one. When a therapist flags that a re-eval is due, the patient needs a longer slot with the right clinician, not the next generic opening. Your AI should know the difference between a standard visit and a re-eval slot, and book accordingly. Cancellation recovery is the second call type. When a slot opens, a quick call to the waitlist, in order, fills it with a patient whose plan actually needs the frequency.
Recurring schedules deserve protection too. If a patient asks to move one session, the AI should move that session, not quietly unravel the standing pattern for the following weeks. Check this behaviour in a demo before you buy, because calendar logic is where phone tools differ most.
Authorisation questions will come up
Patients ask how many visits they have left and whether more have been approved. The safe pattern is simple. The AI can relay status information your team has marked as shareable, and anything disputed or unclear goes to your front desk with a summary. Do not let the system guess at coverage. Our explainer on patient intake by phone shows how to separate collectable facts from questions that need staff.
Where to start
If your clinic is new to phone automation, begin with reminder and rebooking calls, then add re-eval scheduling once the calendar rules are proven. Our base guide to an AI receptionist for physical therapy clinics covers intake and general scheduling. Pair it with the reminder timing in appointment reminders that cut patient no-shows and you have the two halves of a schedule that mostly manages itself.



