Cookbook
Hands-on, production-ready examples for building healthcare AI applications with HealthChain.
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HealthTech
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FHIR
CDS Hooks
Sandbox
Working with FHIR Sandboxes
Spin up and access free Epic, Medplum, and other FHIR sandboxes for safe experimentation. Recommended first step before the other tutorials.
Deploy ML Models: Real-Time Alerts & Batch Screening
Deploy the same ML model two ways: CDS Hooks for point-of-care sepsis alerts, and FHIR Gateway for population-level batch screening with RiskAssessment resources.
Multi-Source Patient Data Aggregation
Merge patient data from multiple FHIR sources (Epic, Cerner, etc.), deduplicate conditions, prove provenance, and handle cross-vendor errors. Foundation for 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 for 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.
Convert Between Healthcare Data Formats
Convert between CDA, HL7v2, and FHIR formats using the interoperability engine. Handle bidirectional conversion for integrating legacy systems with modern FHIR applications.
What next?
See the source code for each recipe, experiment with the sandboxes, and adapt the patterns for your projects!