A 200-bed hospital in Chennai runs 800 OPD appointments per day. Their no-show rate: 35%. That's 280 unfilled slots — each representing a missed consultation, a blocked doctor's schedule, and revenue that simply evaporates.
The fix has always been obvious: call patients 24 hours before their appointment, confirm, offer to reschedule if they can't make it, and fill the slot with someone from the waiting list. The problem is that 800 confirmation calls per day requires a dedicated team of 8–10 staff — just for reminders. Most clinics don't have that, so they accept the no-shows as a cost of doing business.
Voice AI changes that calculation entirely.
What an Agni Healthcare Agent Does
Agni's healthcare configuration handles three distinct workflows, each triggered automatically from the hospital management system:
1. Appointment Confirmation (24 hours before)
"Namaste [Patient Name], I'm calling from [Hospital Name]. You have an appointment with Dr. [Name] tomorrow at 2:30 PM. Press 1 to confirm, press 2 if you need to reschedule, or press 3 to cancel." The response is logged to the HMS, and if the patient reschedules or cancels, Agni immediately initiates a callback to the next patient on the waiting list to offer the slot.
2. Post-Visit Follow-up (48–72 hours after)
"Hello [Name], this is [Hospital Name] checking in after your visit on [Date]. How are you feeling? Did you have any questions about the prescription or the doctor's advice?" Patient responses are summarised and sent to the care coordinator. Patients who report worsening symptoms are flagged for urgent follow-up.
3. Chronic Care Reminders
For patients with diabetes, hypertension, or other chronic conditions requiring periodic check-ups, Agni calls proactively at the configured interval: "Your last HbA1c test was 3 months ago — shall we book your next check-up?"
The Language Problem in Indian Healthcare
A Chennai hospital's patients speak Tamil, Telugu, Malayalam, and Hindi. A Bengaluru clinic serves Kannada, Telugu, and English speakers. A Mumbai hospital sees Marathi, Hindi, Gujarati, and English speakers — sometimes all on the same day.
Agni detects the patient's language preference in the first sentence they speak and completes the entire call in that language. For healthcare specifically, this matters enormously: a patient who doesn't fully understand the instructions for their post-surgery care or medication schedule is a patient at risk.
DPDP compliance note: Patient health data processed through Agni is handled under strict data processor agreements. Call recordings for healthcare clients are retained per the configured retention period (up to 2 years on Enterprise). Agni does not use patient data for any purpose other than delivering the contracted service.
Integration With HMS Platforms
Agni integrates with the major Indian hospital management systems via REST API and webhook:
- Practo / Mfine: New booking triggers confirmation workflow
- Doctify / HealthPlix: Post-visit follow-up triggered on discharge
- Custom HMS: Webhook integration for appointment creation, modification, and cancellation events
Results: What Indian Clinics Are Seeing
Across deployments in multi-specialty hospitals and clinic chains:
- No-show rate reduction: 40–52% within 30 days
- Slot utilisation improvement: 8–14 percentage points
- Patient satisfaction scores: +12–18 points (NPS) for post-visit follow-up group vs. control
- Staff hours redirected from calling to care: 60–70% of previous reminder effort
The Agni healthcare configuration is available on all plans from ₹2,999/month. Contact us for a demo customised to your HMS and patient volume.
