Interoperability & evaluation
Integration designed for hospital reality.
Interoperability is not achieved by adding the words “API-ready.” Every institution has different systems, profiles, terminologies, workflows and responsibilities.
SICC integration will be defined with each institution's technical, clinical, data-protection and security teams.
Interoperability direction
Standards on the development roadmap.
HL7 v2 messages where exposed by the institution
FHIR R4/R4B resources and profiles
Agreed API-based import and export
Federated identity and access control
Audit-event export
Mappings to officially identified national clinical catalogues
Availability and scope will be validated project by project. Listing these standards does not constitute conformance certification or a currently deployed integration.
Data flow and boundary
Map before integrating.
Before connecting any clinical source, the fields, identifiers, endpoints, flow direction, storage, access, logs, retention and deletion are documented.
The evaluation architecture is defined for each institution: a dedicated local instance or a dedicated EU/EEA cloud environment. Direct identifiers and re-identification information remain within the agreed institutional boundary.
Synthetic or irreversibly anonymised data is preferred wherever possible. Where pseudonymised data is required, it continues to be treated as personal data under the GDPR.
Evaluation partners
Seeking controlled-evaluation partners.
VGSI welcomes hospitals, coding teams, digital-health units and academic groups interested in studying governed AI for clinical coding. The proposed pathway is to:
01
Define the question and workflow
02
Establish the baseline without assuming benefit
03
Complete data-protection, security, ethics and regulatory gates
04
Prefer synthetic or anonymised data; where pseudonymised data is required, treat it fully as personal data
05
Compare against expert review
06
Document results, errors, limitations and continuation decisions
An evaluation will not be presented as a commercial endorsement or clinical validation.
Interoperability & evaluation