Fragmented sources
Useful information may live across formats, systems or episodes, with different access paths.
Architecture
Depending on the institution, the target architecture may use the existing interoperability engine (EAI) and interfaces such as FHIR, HL7 and APIs. Those mechanisms must be validated locally; this demo demonstrates no production compatibility.
The operational problem
Interfaces, identity, terminologies, latency, authorizations and errors must be defined — not a promise of universal connectivity.
Useful information may live across formats, systems or episodes, with different access paths.
Source systems remain the systems of record; Ariane provides a derived context layer.
A universal connector that erases local interface, mapping or identity work.
Architecture
From source system to workflow.
Each capability carries exactly one of the three statuses below.
To validate with the institution
Each institution system remains the authority for its domain.
Exchange and patient identity between source applications.
Ariane derives a patient context from authorized sources.
The workflows shown here are simulated.
In this demonstration, nothing is written to a source system. Source consultation is read-only by default. Any eventual export or write-back would be separate, explicitly triggered, authorization-gated and auditable — only if the institution and source application allow it.
Scoping envisaged for a deployment
Interfaces, identity, terminologies, latency, authorizations and error handling must be defined — and not hidden behind a promise of universal connectivity. This scoping describes a validation method with the institution; it is not evidence of a deployment already completed.
Users, workflow, sources, expected outcome and exclusions.
Scope and success criteria
Interfaces, identity (including INS), authorizations, provenance and responsibilities.
Architecture and responsibility matrix
Configure, test failure modes, train and measure.
Pilot results and risk review
Controls, monitoring, support and possible extension.
Production acceptance package
Timeline estimated only after prerequisites are validated with the institution.
Questions to resolve before deployment
No. Ariane is a clinical information-access layer. Source systems remain the systems of record. The exact boundary is defined with each institution.
No. Depending on the institution, the target architecture may use the existing interoperability engine (EAI) and the interfaces already available. No single EHR, EAI or standard is imposed here. Scope is validated locally.
Read-only by default in this demo — see the scoping stated above.
No. FHIR, HL7, APIs or files are possible mechanisms — each to be validated locally. This demo establishes no production compatibility.
Ariane does not replace local interface or mapping work. In this demo, missing information is made visible rather than filled in. The production approach is defined with the institution.
No universal timeline is announced. A schedule is estimated only after prerequisites — sources, interfaces, authorizations and use case — are validated with the institution.
With the institution: GDPR roles, localization, retention, subprocessors, data scope, hosting, access controls, logging and operational responsibilities. This demo presents neither a certification nor a declared GDPR compliance posture.
Which EHR and key systems do you use? With your users and use case, we assess architecture, risks and a validation plan tailored to your institution.