Each scenario demonstrates OpenHIE-compliant interoperability and Health Information Exchange orchestration in action. The problem, the solution, and the measurable outcome.
Book a 30-Minute Architecture WalkthroughArtificial intelligence models cannot access clinical data safely without risking patient data exposure.
BulletTrain's OpenHIE (Open Health Information Exchange) mediator pattern classifies data and orchestrates routing of non-clinical queries to artificial intelligence models while keeping patient data local via Bevan Large Language Model. Clinical reasoning stays within the data boundary; only de-identified or non-clinical payloads reach external models.
Artificial intelligence deployment in days, not months.
Patient data scattered across facilities makes population-level insight impossible.
BulletTrain unifies data from multiple sources into a governed analytics layer. The transport layer normalises formats and enforces consent before data reaches the analytics pipeline.
Real-time population health visibility.
Decades of Health Level 7 version 2 (HL7v2) systems that do not speak Fast Healthcare Interoperability Resources (FHIR).
BulletTrain translates bidirectionally between HL7v2, FHIR Release 4 (R4), Clinical Document Architecture (CDA), and X12 natively. Legacy systems connect without replacement or re-engineering.
Connect legacy systems without replacement.
Manual claims processing with high denial rates slows reimbursement and increases administrative burden.
BulletTrain automates X12 claims submission, eligibility verification, and artificial-intelligence-assisted appeal generation. The governed connectivity layer validates each claim against payer rules before submission.
Faster reimbursement, fewer denials.
Remote consultation data remains disconnected from the clinical record, creating documentation gaps.
Orchestra Telemedicine captures, transcribes, summarises, and archives consultation data automatically. Every session flows into the patient record with full audit trail and consent enforcement.
Zero manual documentation.
Artificial intelligence agents in different countries cannot discover or trust each other for clinical collaboration.
The Global Health Agent Registry and Research Alliance (GHARRA) provides federated discovery with sovereign data control. Each nation maintains its own registry node while participating in global agent-to-agent coordination.
Global agent interoperability with national data sovereignty.
See the platform in action
Walk through your specific integration challenge with our solutions architecture team. The platform provides guaranteed delivery for clinical and AI workflows.