Industry use case · 4 min read
Outpatient no-shows wreck hospital scheduling. A 60-second AI follow-up the day before fixes it.
An OPD slot with a 25 % no-show rate is bleeding ₹4–6 lakh a month for a mid-size hospital. The fix isn’t complicated: call the patient the day before to confirm. The blocker is staffing — your OPD coordinator has 40 other things to do.
AI calling solves it without adding headcount. A simple Anjali (Educator template) agent dials every booked patient at 6 PM the day before. Confirms the time, asks if anything has changed, offers a reschedule if needed. Sends a WhatsApp reminder mid-call if the patient asks for one.
Same agent, slightly different prompt: post-discharge follow-ups (“how is your medication going?”), lab-pickup reminders, and pre-procedure prep checks. The patient gets a thoughtful follow-up call; the hospital gets fewer disrupted slots and better outcomes data.
The economics are stark: a single ₹110/min AI call on Wednesday saves a missed ₹2,500 OPD slot on Thursday.
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