Scan multiple systems to identify the appropriate patient using heuristic matching algorithms, referential data sources, and demographic data.
The RLS indexes patient record locations and uses them to optimize future queries, make patient discovery more efficient.
Health Gorilla’s data processing engine aggregates, de-duplicates, and normalizes fragmented records into a standard FHIR format.
Our national health data repository enables efficient querying by storing raw data from external sources and normalizing into FHIR.
Health Gorilla makes it easy for care teams to review and interact with complete patient data.
FHIR resource APIs have become the national standard for organizing and exchanging healthcare information.
