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clinical-documentation

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FHIR R4 → Snowflake → Dagster → Claude enrichment + LLM-as-Judge + Rules Engine → dbt Gold/Review routing. Dual-validation AI governance layer — confidence scoring + deterministic cross-validation make every enrichment auditable.

  • Updated May 21, 2026
  • Python

Grounded clinical documentation AI prototype built on a synthetic Synthea patient spine, public clinical note corpora, RAG, pgvector, FastAPI, Next.js, AWS/Azure LLM providers, and governed LLM audit workflows

  • Updated May 21, 2026
  • Python

AI-powered medical scribe that records doctor-patient consultations, transcribes audio using AI, and generates structured clinical documentation and prescriptions. Built with a Node.js backend, Python AI services, PostgreSQL database, and a web frontend. Supports local and cloud storage (S3, Azure, GCS).

  • Updated May 11, 2026
  • JavaScript

AI-powered clinical documentation tool that converts patient–doctor conversations into structured SOAP notes using LLMs. Built with a FastAPI backend and Next.js frontend, supports speaker diarization, medical keyword extraction, and on-demand CPT/ICD-10 billing code generation. Containerized with Docker Compose.

  • Updated Apr 16, 2026
  • TypeScript

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