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Diagnostics

Clinical validation, laboratory intelligence, interoperability and analytics across diagnostic networks — from a single lab to a multi-site network.

Overview

What CAD CARE brings to diagnostics

Clinical validation, laboratory intelligence, interoperability and analytics across diagnostic networks — from a single lab to a multi-site network.

Capabilities applied here

  • Clinical & analytical validation
  • LIS integration & interoperability
  • Terminology mapping (LOINC-coded results)
  • Laboratory data analytics
  • Result-reporting AI & decision support
  • Multi-site laboratory architecture

Also relevant

  • Terminology intelligence
  • Vendor-neutral architecture
  • Responsible AI governance
  • Data protection by design
Diagnostics — typical pathAssayvalidationLISintegrationCodedresultsAnalytics& AIDIAGNOSTICS — TYPICAL PATH

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Why this combination

Research, technology and evidence in one place

Diagnostics programmes usually split these across three vendors — a CRO, a systems integrator and a strategy consultancy — who rarely talk to each other. CAD CARE holds all three, so the evidence strategy and the architecture are designed together.

If we would not be willing to implement it, we do not recommend it.

Talk about a diagnostics programme.

Tell us the problem and the stage you're at — research, build, validate or scale.

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