Orchestral Data Platform
Three encounters, two PMS systems, one referral, a pharmacy claim, a lab feed. The data is there. It just isn’t connected.
Orchestral’s Data Platform is the single, authoritative health data foundation that every workstream, report, and AI agent in your organization runs on.
patient records governed
algorithm requests per month
with production deployments
A data warehouse stores records. A data lake stores everything. Neither one knows what an ICD-10 code is, links the same patient across sources, or understands the difference between a pharmacy claim and a laboratory finding.
Orchestral was built by a team with deep expertise in health data integration, proven across health organizations globally. The Data Platform extends that heritage into a complete health data foundation: connecting sources, resolving terminology, governing identity, and producing one trusted model that every downstream user reads from.
Connecting data. Resolving codes. Linking patients. Each component does one job, completely. Together they produce a single health data model every downstream consumer reads from.
Connects to any source: FHIR, HL7, CCDA, DICOM, XML, CSV, REST APIs, flat files. Inbound and outbound. Real-time and batch. Production-grade reliability built for the realities of health data exchange.
ICD-10, CPT, LOINC, SNOMED CT, regional code sets, and local variations resolved automatically. Codes that cannot be mapped automatically are flagged for your team to review and resolve.
Links the same patient’s records across every system, using both rules-based and AI-assisted matching. Equity-aware. Indexity, our identity governance platform, runs the EMPI in environments where patient identity is its own workstream.
The result: one trusted, standards-based health data model. The same model your clinical reporting, analytics, AI agents, and downstream systems all consume.
Most data platforms treat health data as generic tables to be cleaned. Orchestral treats it as health data.
The platform covers the full scope of health data: who was involved, what happened clinically, what was prescribed, what was billed, and where every record came from. It supports data coming in from any source format and going out in any format your downstream systems need.
For the architecture review: A modern data architecture combining the flexibility of a data lake with the structure and governance of a data warehouse. From raw source data through to analytics-ready and AI-ready layers. Full lineage. Every record traceable and recoverable.
| What | How it works |
|---|---|
| Connect any source | Any format, any system, any cadence. Real-time, batch, push, pull. |
| Output to any consumer | FHIR for clinical systems, REST for applications, file drops for legacy. Any format, any destination. |
| One data model | Every downstream consumer reads from the same source. No separate pipelines built per team or use case. |
| Patient identity | Links the same patient across every source, rules-based and AI-assisted. |
| Terminology mapping | ICD, CPT, LOINC, SNOMED, regional code sets, resolved continuously. |
| Lineage and versioning | Every record traceable end to end. Auditable for regulators and clinical governance committees. |
| Governance and privacy | Role-based access, masking, anonymization, audit logging. NZ Privacy Act, HIPAA, PDPL, GDPR alignment. |
| Data sovereignty | Deploy in your jurisdiction. NZ-sovereign, KSA-resident, US-based, or your cloud of choice. |
Your EMR, claims systems, pharmacy and laboratory feeds, and existing applications keep working. Orchestral connects them, normalizes what they emit, and makes the result available as one trusted model.
Every downstream consumer - dashboards, applications, AI agents, regulatory reporting - reads from the same source of truth.
Running Snowflake, Databricks, or another modern data stack? Orchestral connects. It does not compete. Most customers run Orchestral as the health-specific data layer that feeds their existing analytics environment with clean, governed, trusted health data.
We've never had this level of access to data across our rural communities. For the first time, we can see what's happening before it becomes a crisis.
Independent research by NZIER: health data infrastructure of this kind delivers $15.5 to $31 billion in savings per five million population over ten years.
A 5 to 10 percent reduction in total system cost. Thirty-five percent from administrative efficiency. The rest from clinical and operational outcomes that only become possible when the data is finally connected.
The Data Platform is a complete foundation on its own. One trusted health data model, connected, normalized, and governed, ready for whatever your organization builds on top.
When you are ready to deploy governed health AI, the AI Platform runs directly on that foundation. The same data model. The same governance framework. No rebuilding.
Ready to see how the AI platform solves a specific problem? Explore our solutions - from readmission prediction and medication safety to rural health and prior authorization.
In a 30-minute working session we will show you how Orchestral handles data from environments similar to yours, surface what your current setup is likely missing, and walk your team through the architecture.
No commitment. No data required upfront.