Datum for healthcare.
Datum accelerates the deployment of the clinical data operating model — with a FHIR-first Clinical Common Data, SNOMED CT and LOINC integration, and a regulatory framework ready for GDPR Art. 9, ENS high level and EHDS.
Clinical data is rich in content and poor in governance.
Hospitals and healthcare groups generate valuable data at every interaction. The problem is not volume — it is fragmentation, semantic inconsistency and the lack of a model that makes it usable.
HIS, LIS, RIS, EMR… each system generates data in different formats. Without an integration model based on standards, a complete clinical view of the patient is unattainable.
Different codings for the same diagnosis, out-of-range values undetected, fragmented records. Clinical data quality directly impacts patient safety.
Without common semantics or traceability, clinical data is barely reusable for research, trials or advanced analytics. The data's potential is trapped in the systems.
Health data is especially sensitive. Data governance, access control, traceability and anonymisation are regulatory and ethical requirements that need a model, not just technology.
How Datum is structured for healthcare.
Datum's architecture extends for healthcare with two explicit sector layers: a Clinical Common Data aligned with HL7 FHIR and a Business Layer focused on regulatory traceability, clinical indicators and population analytics. We don't reinvent the architecture — we specialise it for clinical data.
What it means for a hospital or healthcare group
Core clinical entities (patient, encounter, observation, diagnosis, procedure, medication) are modelled from day one aligned with HL7 FHIR R4. There is no intermediate step of translating a generic CDM into the clinical world — the layer exists with that semantics.
Quality of care indicators, research cohorts and population analytics aggregates are not local spreadsheets. They are governed data products, with lineage back to source and access controls specific to health data.
Each layer has its own ownership: IT owns Landing and Operational, the Data Office governs Common Data and Business, and the clinical business consumes from the catalogues. Health data security is applied by design at every level, not as a final patch.
What we address with Datum — and what we don't.
Health data is special category data and requires the highest level of protection. We honestly distinguish which frameworks Datum covers as a technical foundation, which we partially align with and which are out of scope.
Covered by Datum
Datum provides the real technical foundation (governance, lineage, classification, ownership, clinical data access traceability).
Partially aligned
Datum enables conformance; final certification or validation belongs to specific bodies.
Out of scope
We do not replace medical device or clinical decision frameworks. Let's be clear.
HL7 FHIR as the semantic map of clinical data.
HL7 FHIR (Fast Healthcare Interoperability Resources) is the most widely adopted clinical interoperability standard internationally. It defines a set of Resources representing universal clinical concepts. We use it as the semantic reference to design Datum's Clinical Common Data.
Why FHIR matters in clinical data governance
FHIR R4 defines more than 140 Resources representing clinical concepts recognised by any hospital system in the world: Patient, Encounter, Observation, Condition, Procedure… It is the common language of clinical data.
It lets us structure the healthcare CDM aligned with how clinical systems actually operate, instead of inventing a proprietary model incompatible with the ecosystem.
It complements with SNOMED CT (clinical), LOINC (laboratory), ICD-10/11 (diagnoses) and ATC (medications). Datum integrates those terminologies as governed metadata of the Clinical CDM.
The European Health Data Space requires structured, traceable and interoperable clinical data. A FHIR-first CDM is the most direct way to be ready for primary and secondary use without reworking the architecture.
FHIR Resources we cover in Datum's Clinical CDM
We don't cover all 140+ FHIR Resources. We cover the ones that support critical clinical data for care, quality, research and reporting.
Data capabilities designed for the healthcare context.
Design of integration models based on HL7/FHIR and mCODE to standardise, connect and govern clinical data with real interoperability.
Ownership model, policies and quality adapted to the healthcare context: clinical entities, codings, diagnosis and procedure traceability.
Event-driven architecture (Kappa) and clinical data catalogue to enable precision analytics, research and predictive models with a governed foundation.
Design of privacy policies, pseudonymisation and access control for clinical data per GDPR, ENS and AEPD guidelines for healthcare environments.
Governed clinical architecture in precision oncology.
"Governed clinical data under FHIR and mCODE to activate precision analytics in oncology"
Definition of data strategy and Data-Driven architecture under DAMA, with Kappa architecture based on Confluent Cloud, HL7/FHIR/mCODE meta-modelling and data governance with Collibra.
Accelerate Datum in your healthcare organisation.
An initial assessment identifies the starting point, pilot domain and deployment model that fit best.