Unified Patient Record
Provide your organization with one trusted patient view across fragmented data without custom pipelines
Overview
AWS HealthLake resolves fragmented, duplicate patient identities across claims, clinical, and ADT sources into a single standards-based record — accessible through both FHIR search and SQL, without custom pipelines or specialized FHIR expertise.
Benefits
Transforms FHIR resources into Apache Parquet and Iceberg formats automatically with built-in NLP that extracts medications, procedures, and diagnoses from unstructured medical text. No custom pipelines or data engineering required.
Resolve duplicate and fragmented patient identities using FHIR Linkage resources, linking records from disparate sources (claims, clinical, ADT) into a single identity cluster. Access the full unified record through standard FHIR search (including _include on Linkage) or through SQL against the zero-ETL Iceberg export, giving clinicians and analysts the same view using the interface that fits their workflow.
Automatically converts C-CDA and CSV files into FHIR R4-compliant resources without requiring complex mapping tools or specialized FHIR expertise. Accelerates data onboarding from days to minutes, enabling customers to start building on clean FHIR data immediately.
