Open Client Registry (OpenCR)
6.0#9 in identity resolution softwareWebAPILinuxmacOS
Visit| Fact | Open Client Registry (OpenCR) | Senzing Entity Resolution |
|---|---|---|
| Deployment | Documentation describes standalone and OpenHIM mediator deployment, and recommends mediator deployment for production use. | The maker lists bare metal, Docker, Kubernetes, private cloud, AWS, Azure, and air-gapped deployment options. |
| Integrations | The documentation describes FHIR R4, HAPI FHIR, OpenHIM, and OpenSearch or Elasticsearch as components or connections in an OpenCR deployment. | Senzing lists Python, Java, C#, Rust, Node.js, and an MCP server for connecting the engine to applications and AI agents. |
| Purpose | OpenCR links patient identities across information systems to support clinical safety, continuity of care, and accurate reporting. | Senzing resolves fragmented records into entities and reveals relationships between them for fraud, compliance, and AI systems. |
| Support | The About page directs users to contact [email protected] and join the OpenCR Slack community. | Senzing says support is included with paid subscriptions at no additional charge and is free. |
No prices published.
OpenCR suits organizations that need to link patient identities across systems and support care coordination or reporting. Production deployment is aimed at teams with Linux administration and command-line expertise.
Senzing suits organizations in financial services, healthcare, public sector, insurance, and technology that need entity resolution for fraud, compliance, or AI systems. It is also intended for agentic AI use.