Open Client Registry (OpenCR) review
A self-hosted registry for matching and reviewing patient identities across healthcare systems.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Open Client Registry (OpenCR) is an open-source, standards-based client registry for public-health and healthcare information systems. It assigns and looks up unique patient identifiers, accepts FHIR R4 messages from point-of-service systems, and links records across submitting systems. Its primary audience is healthcare and public-health teams that need a self-hosted patient identity registry rather than a broad identity platform.
OpenCR’s strongest capability is its hybrid matching workflow. Administrators can configure patient matching decision rules and use both deterministic and similarity-based algorithms for record linkage. Automated matching is paired with a user interface for reviewing records and breaking matches when needed. FHIR R4 support connects OpenCR with electronic medical record and laboratory systems, while integrations with HAPI FHIR Server, OpenHIM, and OpenMRS fit common healthcare information-system environments. OpenSearch and Elasticsearch support provide backend options for deployments that need those search technologies.
The product also covers operational workflows beyond individual API messages. CSV-based bulk uploads support batch data handling, and the published platform options include web, Linux, API, and self-hosted deployment. This flexibility comes with infrastructure responsibilities: OpenCR requires supporting components such as a FHIR server, database, and OpenSearch or Elasticsearch. It is a strong fit for teams that can manage self-hosted healthcare infrastructure and need configurable patient matching with human review. Organizations seeking a broader identity resolution product outside patient and healthcare records should consider a more general-purpose alternative.
Open Client Registry (OpenCR) pros and cons
- Where it wins
- Configurable deterministic and similarity-based matching
- FHIR R4 intake with real-time API support
- Human review, match breaking, and CSV bulk workflows
- Where it doesn't
- Requires self-hosted deployment and supporting components
- Focused primarily on patient identity workflows
- Backend setup includes OpenSearch or Elasticsearch
Open Client Registry (OpenCR) fact sheet, pricing and score →
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