Prescription adherence up 38%. Hospital readmissions down 22%.
Post-discharge calls in Tamil, Telugu, and Hindicatching complications before they become emergencies.
The challenge
A Chennai hospital chain with 6 campuses was seeing a 19% 30-day readmission rateabove the national average. Post-discharge care was limited to a paper discharge summary. Patientsmany elderly, Tamil or Telugu-speakingwere not following prescriptions, missing follow-up appointments, or ignoring early warning symptoms. The hospital had no capacity to manually call 1.2 lakh discharged patients per month.
The solution
Agni calls every discharged patient at day 1, day 3, day 7, and day 14 post-discharge. Calls are in the patient's languageTamil, Telugu, or Hindibased on their hospital record.
Day-1 call: medication confirmation, questions about prescription, follow-up appointment booking.
Day-3 call: symptom check using a structured clinical questionnaire. Flag responses above threshold to the ward nurse in real time.
Day-7 and Day-14 calls: adherence check, appointment reminder, escalation if symptoms indicate deterioration.
All conversations are transcribed and added to the patient's EHR.
“Our Tamil Nadu patientsespecially the elderlyrespond to a warm voice in their own language. Agni sounds like someone who genuinely cares. Our readmission numbers reflect that.”
Chief Medical Officer, Hospital Chain (Chennai)
The results
30-day readmission rate dropped from 19% to 15%a 22% reduction. Prescription adherence improved 38% (measured by pharmacist follow-up survey). Patient satisfaction on the post-call survey: 4.6/5.
The hospital estimates ₹2.4 crore annually in avoided readmission costs.
Ready to see results like these?
Agni deploys in under a week. No dev team needed. Start freeno credit card required.
Explore the API.
Build voice AI into your product. Full REST API, webhooks, and India-language SDKs.
more case studies
← back to all case studies