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In Progress · OntarioHealth & Life Sciences

Primary Care Network Platform:
Building Clinical Infrastructure for Ontario Physicians

A unified platform that integrates with provincial EMR systems, handling patient scheduling, clinical documentation, and billing—replacing fragmented point solutions with enterprise-grade technical architecture.

Primary Care Network Platform Interface

Key Outcomes

40%

Reduction in administrative overhead

90 min

Saved per physician per day

$45k

Addt'l revenue/physician/year

Technology Stack

FHIR R4ReactPython/FastAPIPostgreSQLNLPSOC 2 Type II

The Challenge

Ontario's healthcare system has no standardized interoperability layer. Most clinics manually duplicate data entry across 5+ different EMR platforms (OSCAR, Accuro, PS Suite, TELUS Health), consuming 2-3 hours per physician per day. This fragmentation leads to burnout, billing errors, and less time for patient care.

Multi-EMR Integration

We built a FHIR R4-compliant abstraction layer with real-time bidirectional sync. This allows the platform to read and write to any underlying EMR without the user needing to switch contexts.

Intelligent Scheduling

ML-powered scheduling engine that analyzes historical appointment patterns and patient complexity to optimize calendar utilization with automated buffer allocation.

Core Features

1

OHIP Billing Automation

Our NLP engine extracts clinical notes, maps them to OHIP billing codes, and validates them against 3,000+ provincial rules. It auto-generates claims submissions with real-time validation, reducing rejection rates from 8-12% to 1.2%.

2

AI Clinical Documentation

Real-time transcription with medical terminology understanding. The system auto-structures notes into SOAP format, extracts ICD-10 codes, and flags follow-ups. Physicians retain full review control, but start with a 90% complete draft.

Technical Architecture

System Architecture Overview

Frontend:Next.js 14, React Server Components, Tailwind CSS
Backend:Python (FastAPI) for ML services, Node.js for real-time sync
Database:PostgreSQL (Relational data), Redis (Caching), Qdrant (Vector)
Security:AES-256 Encryption at rest, TLS 1.3 in transit, OAuth 2.0
Compliance:SOC 2 Type II, PIPEDA, PHIPA compliant audit logging

Final Thought

This architecture delivers 99.7% data synchronization accuracy and a measurable improvement in clinical workflow efficiency.

By abstracting away the complexity of legacy EMRs, we allow physicians to focus on what matters: patient care.