FlexGrid harmonises fragmented structured andunstructured clinical dataSovereign by architecture.

Federated clinical data harmonisation and interoperability infrastructure

Transform fragmented hospital data into governed, AI-ready, research-grade datasets without moving patient records or replacing existing systems.

Most hospital data remains fragmented across incompatible systems, protocols, standards, and local infrastructures, limiting interoperability, secondary use, AI readiness, and regulatory-grade research.

FlexGrid creates a harmonised interoperability layer across FHIR R4, HL7, OMOP CDM, openEHR, imaging systems, pathology platforms, genomics environments, registries, PACS/DICOM infrastructure, and legacy hospital systems.

The platform:

  • Connects data from any source or protocol
  • Harmonises fragmented structured and unstructured clinical data
  • Creates semantically normalised patient-level datasets
  • Detects incompatibilities, missing fields, duplicates, and mapping inconsistencies
  • Generates automated data quality alerts and validation reports
  • De-identifies and encrypts datasets directly inside the hospital environment
  • Physician produces research-grade governed dataset snapshots inside the Virtual Research Room (VRR)
FlexGrid harmonising clinical data sources into one interoperable model

Sovereign by architecture

FlexGrid operates entirely inside the hospital environment, on-premise or within sovereign cloud infrastructure.

Patient data never leaves institutional control. AI workloads will move to the data. The data will always stay in the hospital infrastructure.

No centralised data lakes.

No parallel architectures.

No replacement of existing hospital systems.

Configurable for disease-specific research

FlexGrid can be pre-configured for specific disease areas including oncology, cardiovascular disease, rare diseases, blood disorders or others.

Disease-specific configurations define:

  • Required variables and tables
  • Terminology mapping
  • Metadata structures
  • Data quality rules
  • Validation workflows
  • Research-ready dataset schemas

Federated AI readiness and regulatory-grade governance

FlexGrid enables federated analytics and AI model training across institutions while keeping raw patient data local at all times. All datasets are de-identified, encrypted, and governed directly at the infrastructure layer.