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Internal ConceptTETRA AI

Shifa Medical Group — Website Chatbot Systems

Healthcare triage chatbot

Concept exploration for Healthcare · 10–12 weeks

AI AgentsOpenAI GPT-4LangChainNext.jsWebSocketHL7 FHIR
Concept Visualization
The Challenge

Shifa Medical Group's call center handles 2,000+ calls daily across 12 clinics. 65% of calls are routine — appointment booking, insurance queries, and direction requests. Wait times during peak hours exceed 8 minutes, and the entirely phone-based system has no Arabic digital alternative for the majority of patients who prefer messaging.

Our Approach

This concept deploys a bilingual chatbot that handles the 65% routine inquiry volume with medical-grade intent detection. The bot doesn't diagnose — it triages intent, routes to the right department, checks insurance eligibility, and books appointments. Every conversation that exceeds confidence threshold triggers a warm handoff to a human agent with full context preserved.

Deliverables

What this concept engagement would include.

01Arabic/English bilingual chatbot with medical intent detection
02Symptom triage logic with department routing
03Appointment scheduling integration (HL7/FHIR-compatible)
04Insurance verification flow (Tawuniya, Bupa, MedGulf)
05Human handoff protocol with context preservation
06Knowledge base architecture (500+ Q&A pairs)
07Monthly analytics dashboard (containment, escalation, satisfaction)
08Reduced-scope fallback for off-hours coverage
Projected Outcomes

These are scenario-based expectations — not verified client results.

Projected: patient inquiry response reduced from hours to seconds
Projected: support team freed from repetitive insurance questions
This Concept Demonstrates
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Shifa Medical Group — Website Chatbot Systems — معرض مفاهيم · تيترا