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Open Client Registry (OpenCR)

Free#18 of 25 in Identity Resolution Software

Open Client Registry (OpenCR): A self-hosted registry for matching and reviewing patient identities across healthcare systems. Ranked #18 of 25 in Identity Resolution Software by our editors (7.1/10); pricing: Open source; best for open-source patient identity registries.

7.1/10Editor score
Visit OpenCR
Open Client Registry (OpenCR)7.1 Visit OpenCR

At a glance

  • Editor score
    7.1 / 10
  • Pricing
    Open source
  • Best for
    Open-source patient identity registries
  • Paid from
    None
  • Matching approach
    Hybrid
  • Facts checked
    21 Sep 2026

  • 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

Our verdict on Open Client Registry (OpenCR)

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) pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on openclientregistry.org

Open Client Registry (OpenCR) fact sheet

Free planNot verified
Paid fromNone
Matching approachHybrid
Included recordsNot verified
Real-time APIYes
Batch file importYes
Household matchingNot verified
Organization matchingNot verified
DeploymentCloud, Self-hosted
PlatformsWeb, Linux
SupportEmail, Community, Docs
Built forMid-market, Enterprise (editorial estimate)
Integrations6 integrations: FHIR R4, HAPI FHIR Server, OpenSearch, Elasticsearch, OpenHIM, OpenMRS
PricingOpen source
Websiteopenclientregistry.org
Facts checked21 Sep 2026

Open Client Registry (OpenCR) integrations

Open Client Registry (OpenCR) lists 6 integrations on its own site.

  • FHIR R4
  • HAPI FHIR Server
  • OpenSearch
  • Elasticsearch
  • OpenHIM
  • OpenMRS

Alternatives to Open Client Registry (OpenCR)

See all Open Client Registry (OpenCR) alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Open Client Registry (OpenCR) 7.1/10

Open Client Registry (OpenCR) is listed in our Identity Resolution Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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