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🍳 Cookbook: Hands-On Examples

Dive into real-world, production-ready examples to learn how to build interoperable healthcare AI apps with HealthChain.

🚦 Getting Started

  • Working with FHIR Sandboxes Spin up and access free Epic, Medplum, and other FHIR sandboxes for safe experimentation. This is the recommended first step before doing the detailed tutorials below.

📚 How-To Guides

  • 🚦 Multi-Source Patient Data Aggregation Merge patient data from multiple FHIR sources (Epic, Cerner, etc.), deduplicate conditions, prove provenance, and robustly handle cross-vendor errors. Foundation for retrieval-augmented generation (RAG) and analytics workflows.

  • 🧾 Automate Clinical Coding & FHIR Integration Extract medical conditions from clinical documentation using AI, map to SNOMED CT codes, and sync as FHIR Condition resources to systems like Medplum—enabling downstream billing, analytics, and interoperability.

  • 📝 Summarize Discharge Notes with CDS Hooks Deploy a CDS Hooks-compliant service that listens for discharge events, auto-generates concise plain-language summaries, and delivers actionable clinical cards directly into the EHR workflow.

What next?

See the source code for each recipe, experiment with the sandboxes, and adapt the patterns for your projects!