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Diagnostic centre automation

AI automation for diagnostic centres in India

Cut no-shows, automate report delivery, and reach every patient in their language. Voice AI + WhatsApp + LIMS integration.

No-shows down 50-65%

Multilingual voice AI handles reminders and full conversational rescheduling.

Report delivery automated

Patients get their reports on WhatsApp the moment they're ready, with explanation prompts.

Reminder desk redeployed

Most chains move 70-80% of reminder-desk staff to high-touch patient care.

What this solves for multi-branch diagnostic chains

Diagnostic chains run on three repetitive, language-heavy workflows: appointment reminders, rescheduling, and report delivery. All three break at scale unless you have a multilingual reach machine โ€” which a 12-person reminder desk canโ€™t be.

  • Auto-call every patient 24h and 3h before their appointment
  • Conversational rescheduling without callbacks
  • WhatsApp report delivery the moment LIMS marks the report ready
  • Day-of-visit follow-up: are you on your way? do you need directions?
  • Post-visit feedback collection in the patient's language

LIMS and HIS integration

The AI layer connects with your existing lab information system and hospital information system via REST or HL7 FHIR โ€” patient state changes (booked, completed, report ready) flow back to the agent in real time.

Frequently asked questions

How fast can we go live?
Pilot with 1-2 branches: 6-8 weeks. Full chain rollout: 2-4 additional weeks.
Does it work for non-fasting tests too?
Yes. The reminder logic is configurable per test type โ€” fasting vs. non-fasting, special preparation needed, etc.
What languages?
Hindi, English, Telugu, Tamil, Kannada, Marathi, Bengali, Gujarati. Code-mixed handled natively.
What does it cost?
Pilot: โ‚น3-6 lakh. Production scaling: per-call usage. Fixed-price scope after a 30-min discovery.