Health AI Boilerplate: AI-Powered Clinical Note Solution
Product Demo
A comprehensive accelerator focused on a critical product need: bridging the knowledge gap between complex clinical documentation and patient understanding. By instantly simplifying medical notes via automated summarization, this solution drives clarity, improves patient engagement, and enhances clinical workflow efficiency.
Strategic & Technical Footprint
Microservice Architecture
Frontend (Nuxt), Backend API (FastAPI), and Asynchronous AI Service (Python/Celery) for horizontal scaling.
Operational Maturity
Integrated Prometheus, Loki, Sentry, and Grafana for real-time log aggregation, error tracking, and performance metrics.
Core Product Value
Instant, automated note summaries to improve patient comprehension and clinical clarity—the core product outcome.
Architecture Deep Dive
Asynchronous AI Processing (Celery & Hugging Face)
Offloads clinical note summarization using a pre-trained Hugging Face Transformer model (distilbart-cnn-12-6), orchestrated via Celery and Redis to ensure non-blocking API performance.
Full-Text Search (Meilisearch)
Enables high-speed, relevant search capabilities across clinical notes, directly addressing a critical user need.
Data Interoperability (FHIR-Inspired)
Designed schemas to mimic FHIR for easy interoperability and compliance, establishing a solid data foundation for future integration.
API & Backend (FastAPI / Python)
Leverages Python's performance (ASGI) and FastAPI's automatic documentation/security tools.