Case Study — Healthcare

Dhing Medical Hall

An AI chat assistant with in-chat appointment booking, built on top of a redesigned, fully self-contained website — so a patient calling after hours gets an answer instead of a dead line.

Dr. Asif Ahmed · HEALTHCARE — CLINIC · DHING, ASSAM
Nexus Lab Prism Studio
GeMUdyamGSTDPIIT

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The situation

Patients calling after hours reached a dead line.

Dr. Asif Ahmed's practice in Dhing, Assam took appointment calls and questions the same way most single-practitioner clinics in Northeast India do — by phone, during clinic hours only. Outside those hours, a call went unanswered until the next morning, and every unanswered call was a patient who might book with someone else instead of waiting.

What we built

An AI assistant that actually understands the question — and books the visit.

  • A redesigned, single self-contained website — rebuilt and consolidated across several iterations, including a full color palette overhaul (through a teal/coral direction, settling on Royal Indigo/Electric Emerald) and refined hero imagery.
  • An AI chat assistant using fuzzy matching (Fuse.js) and a synonym dictionary with confidence scoring — so it correctly understands a question phrased differently than expected, not just exact keyword matches.
  • An in-chat appointment booking flow, so a patient can book directly inside the conversation instead of being told to call back.
  • Ongoing iterative refinement across many working sessions — UI consolidation, hero image treatment, and ongoing chatbot accuracy improvements — rather than a one-off build handed off and forgotten.
The outcome

After-hours demand gets captured instead of lost.

The practice now has a way to answer common questions and take a booking at any hour, instead of losing that demand to voicemail. This is presented as scope and capability delivered, not a measured before/after metric — Northeum doesn't publish numbers it hasn't independently verified.

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