Healthcare & Life Sciences
Clinical and research data platforms where privacy, provenance, and interoperability are prerequisites — not roadmap items.
Health data is fragmented across clinical systems that barely interoperate, governed by privacy law that is unforgiving, and increasingly asked to support analytics and AI it was never structured for.
We treat consent and provenance as first-class parts of the data model rather than access control bolted on afterwards. Interoperability is built on HL7 FHIR, de-identification is engineered into the pipeline, and every downstream analytic can trace back to a governed source.
- HL7 FHIR interoperability & integration layer
- Consent and provenance modeled into the platform
- De-identification and safe research pipelines
- PHIPA / PIPEDA control mapping & audit evidence
- Clinical and operational analytics
- AI readiness for governed health datasets
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