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Research. Intelligence. Transformation.

CAD CARE is a technology-enabled healthcare research and consulting organisation combining clinical research, artificial intelligence, healthcare analytics, digital health and evidence generation to accelerate healthcare innovation.

Clinical Analytics & Discovery |  Centre for AI, Research & Evidence

Built onHL7 FHIR·Vendor-neutral architecture·DICOM·ABDM & ABHA·SNOMED CT·LOINC·ICD-11·ATC

The name

CAD CARE, expanded once

Two acronyms, chosen to mean exactly what CAD CARE does. We do not spell them out again on every page — this is where they live.

CClinical
AAnalytics
DDiscovery
+
CCentre
AArtificial
Intelligence
RResearch
EEvidence

CAD — Clinical Analytics & Discovery. The scientific, clinical, analytical and innovation engine.

CARE — Centre for AI, Research & Evidence. The institutional research, AI, evidence and knowledge mission.

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The problem

Healthcare is generating more data than ever.

Data alone does not create better healthcare. Value appears only when data becomes intelligence, intelligence becomes evidence, and evidence changes what someone actually does.

Data to outcomesDATAINTELLIGENCEEVIDENCEACTIONOUTCOMES

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CAD CARE connects research, data, artificial intelligence, evidence and healthcare expertise to solve complex healthcare challenges — end to end, not stage by stage.

The opportunity

Where healthcare research meets artificial intelligence

Most organisations hold these capabilities separately: a research function, a data function, an AI initiative, a digital programme. CAD CARE is built at the point where they meet.

Where healthcare research meets artificial intelligenceCLINICAL RESEARCHARTIFICIAL INTELLIGENCEHEALTHCARE DATADIGITAL HEALTHEVIDENCECAD CARE

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Three pillars

What CAD CARE does

01

Research

Clinical and contract research, real-world evidence, biostatistics, medical writing and regulatory research — generating reliable evidence across the healthcare lifecycle.

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02

Intelligence

Healthcare AI, clinical and research intelligence, predictive analytics, medical imaging AI and population health — turning healthcare data into decisions.

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03

Advisory

Healthcare, AI, digital health and regulatory strategy, technology architecture and implementation — translating research and technology into working systems.

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Infrastructure

Built on vendor-neutral architecture and HL7 FHIR

Every capability above depends on one decision made early: healthcare data has to move between systems that were never designed to talk to each other, and mean the same thing once it arrives. That is a vendor-neutral application architecture, built on FHIR.

01

Vendor-neutral architecture

Clinical, laboratory, imaging, pharmacy and AI systems from different vendors, connected as one ecosystem — with no single vendor holding the data hostage.

How it works →
02

HL7 FHIR

The resource model and API surface CAD CARE builds clinical exchange, application integration and research data flow on.

The FHIR layer →
03

Terminology intelligence

SNOMED CT, LOINC, ICD-11 and ATC — so the data that moves also means the same thing on both sides.

Semantic layer →
Vendor-neutral healthcare application architectureHEALTHCARE USERSCliniciansPatientsResearchersVENDOR-NEUTRAL APPLICATION LAYERone experience across many systemsHISLISRISPACSVNAPharmacyINTEROPERABILITYFHIR · DICOM · HL7 · APIsDATA PLATFORMnormalised · governed · longitudinalAI & ANALYTICSmodels · agents · decision supportINTELLIGENCE LAYERtrusted healthcare intelligence

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Vendor-neutral healthcare application architecture

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Contract research

The next generation of contract research

Traditional research models depend on people, processes and fragmented systems. CAD CARE combines clinical expertise with AI, analytics, interoperability and digital research infrastructure.

AI-augmented research lifecycleRESEARCH LIFECYCLEProtocolFeasibilitySiteselectionPatientIDRecruitmentClinicaldataMonitoringAnalysisEvidenceRegulatoryAI AUGMENTATION — ACROSS EVERY STAGEProtocolintelligenceCohortdiscoverySiteanalyticsEligibilitymatchingRecruitmentintelligenceDataabstractionRisk-basedsignalsResearchanalyticsEvidencesynthesisRegulatoryintelligenceAI augments clinical and scientific expertise — it does not replace it.

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AI-augmented research lifecycle

The boundary

AI augments clinical and scientific expertise — it does not replace it. Every AI-assisted step in a study remains under the judgement of a qualified human, and is logged as such.

Technology-enabled contract research →

Intelligence

Intelligence across the healthcare lifecycle

Clinical intelligence

Decision support, risk prediction, patient stratification, automated documentation and clinical summarisation.

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Research intelligence

Cohort identification, trial feasibility, eligibility matching, literature and evidence synthesis.

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Population intelligence

Risk stratification, disease prediction, segmentation, surveillance and programme intelligence.

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Operational intelligence

Workflow analytics, capacity and demand modelling, and operational decision support.

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Generative AIMachine learningAI agentsClinical decision supportPredictive analyticsMedical NLPComputer visionMedical imagingEvidence intelligenceKnowledge graphs

Digital health

Building the digital infrastructure for intelligent healthcare

Healthcare systems should not operate as isolated islands.

HL7 FHIRDICOMDICOMwebABDMABHASNOMED CTLOINCICD-10 / ICD-11RxNormATCTerminology servicesAPI integration

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CAD CARE technology

Technology built for healthcare

CAD CARE develops its own healthcare technology platforms. These are CAD CARE assets — distinct from the client organisations we work with.

CAD CARE PRIME

Clinical capture & intelligence. Technology for capturing and structuring healthcare information at the point of care.

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CAD CARE PLUS

Institutional healthcare intelligence. Technology connecting clinical, diagnostic, operational and institutional workflows.

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CAD CARE PAXX

Personal health intelligence. Technology supporting longitudinal personal health information, engagement and intelligent access.

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Solutions

Healthcare innovation across the ecosystem

Pharma

Clinical research, RWE, evidence and AI.

Biotech

Clinical development, research intelligence, precision medicine.

MedTech

Clinical evaluation, validation, regulatory strategy.

Diagnostics

Clinical validation, laboratory intelligence, interoperability.

Digital health

AI, clinical validation, platforms and evidence.

Hospitals

Clinical intelligence, interoperability, transformation.

Government

Population health, digital infrastructure, research.

Research

Data, analytics, research infrastructure, evidence.

All solutions →

Clients

Trusted by healthcare innovators

CAD CARE works with healthcare organisations and innovators to design, build, validate and scale intelligent healthcare solutions.

NHS Supply Chain

United Kingdom · 2020–2024. CAD CARE PLUS (VNA) connected more than twenty departmental and specialty systems under a framework agreement.

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Get Set Healthy

Preventive & population health. Healthcare technology architecture, digital health, interoperability, AI and product engineering.

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Get Set Healthy Labs

Diagnostics & laboratory. Laboratory technology, data architecture, interoperability and analytics.

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Soma Nova

Precision medicine & medical intelligence. AI architecture, healthcare intelligence, genomics and research technology.

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A note on this list

These organisations are clients of CAD CARE. They are not subsidiaries, products or business divisions of CAD CARE.

Approach

Discover → Design → Develop → Validate → Deploy → Scale

Discover to scale01Discover02Design03Develop04Validate05Deploy06Scale

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The CAD CARE flywheelDataAnalyticsAIResearchEvidenceTransformationOutcomesNEW DATA · CONTINUOUS DISCOVERYFrom data to discovery — and back again

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The CAD CARE flywheel

Let's solve a healthcare challenge.

Tell us what you are trying to build, validate, research or transform. We will tell you honestly whether it is a research problem, a data problem, an AI problem or an architecture problem — and what it would take.

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