Intelligent Lead Management
ILM – From Lead Chaos to Cross-Channel Patient Acquisition Intelligence
01.
Problem
- Patient inquiries arrive across 9+ channels – siloed, duplicated, slow to triage
- 60%+ of email leads are spam; walk-ins take 5–10 min on error-prone paper forms
- Manual PII handling = HIPAA/GDPR compliance risk
- Round-robin assignment burns out top agents while others sit idle
02.
Solution
- AI-unified lead capture across email, WhatsApp, walk-in, web, ads, referrals
- 4 production ML models: BART (intent), SentenceTransformer (routing), Presidio NER (PII), Tesseract OCR (Aadhaar)
- Privacy-first architecture: all AI runs locally; PII never leaves hospital infrastructure
- Fast deployment: integrates with existing CRM/EMR via REST APIs
03.
Key Capabilities
- Intent-based email triage – 95% spam detection, no keyword rules
- Semantic department routing – 'chest pain' → Cardiology without dropdowns
- Aadhaar/ID OCR – 30-second registration with 95% accuracy
- Real-time SQL load-balancing – fair, expertise-aware lead assignment
04.
Business Impact
- 10x walk-in throughput (5 min → 30 sec) – same staff, 10x revenue capacity
- 95% spam accuracy – staff time freed for actual patient engagement
- 3x lead volume handled by same team – operational leverage without headcount
- HIPAA/GDPR-ready by design – zero manual compliance work
05.
Example Use Cases
- Email: 'My father has chest pain' → BART intent SERVICE_REQUEST + semantic routing to Cardiology
- Walk-in: scan Aadhaar → OCR auto-fills patient form → token in 30 seconds
- WhatsApp / Email / web all dedupe into one patient timeline via phone normalization
- SLA dashboard: '3 leads at risk – 15 min to breach' with proactive alerts
06.
Why MediAstra
- Real ML, deployed in production – not AI-washing on marketing slides
- Privacy-first: local NER protects patient data; no cloud AI dependency
- Bilingual (Hindi/English) and Indian-context aware – built for local hospitals
- Engineered in India. Delivered to the world.