LangBridge – Reduce ER Communication Errors by 90%

Real-time clinical translation API for emergency care, integrating with EHR systems to handle 150+ languages/dialects. Targets multilingual hospitals and NGOs with HIPAA-compliant tech stack. Break-even at 11 hospital contracts.

LangBridge addresses critical communication failures in emergency medicine through AI-powered clinical translation. Designed for high-stakes environments, the solution combines ambient voice recognition with emergency protocol mapping to reduce misdiagnosis risks in multilingual patient interactions. Initial pilots show 40% faster triage decisions in Level I trauma centers.

Core Functionality

Real-time speech-to-text conversion with Whisper API
ER protocol-aware translation engine (150+ languages)
Automatic HL7/FHIR integration with major EHR systems
Panic-button override for critical phrases like ‘allergy’ or ‘blood thinner’
Compliance dashboard for HIPAA/CE audits

Target User and Segment

Primary: ER teams in multilingual cities (London ER sees 300+ language encounters weekly)
Secondary: Medical NGOs in refugee camps
Emerging: Cruise ship infirmaries handling int’l passengers

Recommended Tech Stack

Backend: Python FastAPI + Rasa NLP
Speech Processing: Custom Whisper API layers
Translation: DeepL Pro + Meta NLLB-200 ensemble
Infrastructure: AWS GovCloud with HITRUST CSF
Client SDK: Flutter for cross-platform deployment

Estimated MVP Costs

750 development hours @ €100/hr = €75,000
Contingency buffer: €15,000
Key allocations:
– Speech module (200h)
– EHR integration (120h)
– Medical validation testing (100h)