| Aspect | Details |
|---|---|
| Client Profile | Small clinic serving immigrant communities, 100+ new patients/month, intake in EN/ES/FR/AR |
| The Pain (As-Is) | • Front desk staff spends 3-5 hours/day manually translating intake forms, scheduling, and triaging urgency • Critical symptoms sometimes missed due to language barriers • HIPAA/GDPR risk: using Google Translate or public AI tools on patient data |
| The Solution (To-Be) | Privacy-First Multilingual Triage Assistant: 1. Patient fills secure, multilingual intake form (self-hosted Formbricks) on tablet in waiting room 2. Local LLM (Ollama + Llama 3) processes responses: – Auto-translates to clinician’s language – Flags urgency keywords (« chest pain », « suicidal ») → alerts staff – Suggests preliminary ICD-10 codes for clinician review 3. Output appears in clinic’s EHR (via HL7/FHIR API or CSV import) 4. All processing happens on-premise; no patient data leaves clinic network |
| Tool Stack | • Intake Form: Formbricks (open-source, self-hosted) with i18n • AI Engine: Ollama + Llama 3 8B (local, fine-tuned on medical terminology) • EHR Integration: Simple CSV export or HL7/FHIR adapter (if EHR supports) • Alerting: Local webhook to Slack/Teams for urgent flags • Hardware: Clinic-owned mini-PC or NUC running Ollama |
| Privacy Strategy | • HIPAA/GDPR by design: all data stays on-premise • Local LLM = no PHI sent to cloud • Access logs + audit trail for compliance • Regular security updates on local server |
| Effort to Implement | High (2-3 weeks for compliance review + testing) |
| ROI Calculation | (Staff Hours Saved/Day × Hourly Rate × 250 days) + (Risk Mitigation Value)• 4 hrs/day × $35/hr × 250 = $35,000/year • Reduced mis-triage risk: hard to quantify but critical • Total Year 1 Value: $35,000+ • Plus: better patient experience, compliance confidence, staff morale |
| Risk Mitigation | • Pilot with non-urgent intake first • Keep clinician final sign-off on all triage decisions • Document everything for HIPAA audit trail |
💡 Why this excites clients: It solves a real human problem (language barriers in care) while meeting strict compliance requirements — a rare win-win.