A legacy EMR with no API or FHIR blocks every AI and integration move. We wrap it in an HL7 FHIR R4 layer so AI and integration ship while the core keeps running.
Elinext is a software development firm. Here is what gets built, in engineering terms, so AI and integration ship without touching the system of record.
The FHIR layer sits on the legacy EMR as middleware. Wrap, not replace. Capability is extracted one domain at a time (Strangler Fig), and AI clinical support sits on clean FHIR data with an explainability checkpoint per component.
An AI audit trail for every decision and explainability on every recommendation, built to the EU AI Act for high-risk AI, EU MDR where the product is a device, and GDPR Article 22. Spec before code.
Integration middleware between ambient AI and the EMR through a FHIR pipeline, and lab-to-EMR HL7 ORU integration with automated physician notification when a result needs attention.
The reason teams sit on this is the fear that a project pulls clinical staff off the floor. The wrap approach does not work that way.
The legacy EMR keeps running untouched while the API layer goes on top.
Start with one integration or a single department as a pilot before anything wider.
A team that has already solved the FHIR integration, not a staffing line to fill.
Delivered work, described as built. The approach above is what we propose, not claimed as shipped in these projects.
Lab quality-control platform refactored to be HL7 and HIPAA compliant, with audit logs and e-signature.
Practice platform with a full-scale automated medical billing system and patient portal; ONC certified.
An eTMF document-management SaaS with electronic signature and audit trails, scaled to 50,000+ users.
If the legacy EMR is the wall every AI conversation runs into, the next step is a technical conversation. No pitch, we walk through where a contained first integration would start, on your timeline.
We reply within one business day.
Start with a free quote