Map, match and import, visually.
Register external systems, define field mappings and monitor import runs from a single console. Person matching happens automatically with confidence tiering and human review for edge cases.
Person matching, not just MRN
Healthcare data lives in silos with different identifiers. HealthOS matches people across systems using a layered approach: deterministic matching on Medicare number, IHI and MRN, then probabilistic fuzzy matching on name + DOB for the remainder. Every match decision is confidence-tiered and audited.
- Deterministic: Medicare, IHI, MRN, DVA number
- Probabilistic: name similarity + DOB with confidence tier
- Human review queue for matches below confidence threshold
- Full audit trail, who approved which match, when, and why
Field mapping templates
Map once, import repeatedly. The visual field mapper lets you define how source columns translate to the canonical data model. Templates are versioned and reusable, when your PAS sends HL7 ADT messages, the same mapping runs every 15 minutes without intervention.
- Visual point-and-click source → target mapping
- Schema validation catches type mismatches before import
- Transformation rules for date formats, code lookups, concatenation
- Reusable templates per source system and message type
From legacy to live
Migrating from a legacy system doesn't have to be a big bang. HealthOS supports staged import, bring historical data in batches, validate, reconcile against the source, then switch over when you're confident. Staging table ingestion lets you pull directly from cloud warehouses, so data teams can prepare and curate datasets in their existing toolchain before HealthOS picks them up.
- Staged import, validate before committing
- Staging-table ingestion from PostgreSQL, MySQL and SQL Server sources, including Redshift and Azure Synapse over their PostgreSQL/SQL-Server wire protocols
- Data cube staging area for review and reconciliation
- Side-by-side comparison against source system counts
- Parallel run mode, both systems live until cutover
Integration flows, your Mirth replacement
HealthOS includes a visual integration engine for ongoing data pipelines. Define channels as source → transform → destination, write transforms in Python, and schedule runs on cron or trigger from webhooks. Scripts go through a governed approval workflow before they run in production. A built-in dashboard shows run history, errors and throughput for every channel.
- Visual drag-and-drop channel builder
- Python-based transforms with versioned script governance
- Scheduled (cron), webhook and event-driven triggers
- Pre-built connectors: FTP, SFTP, HTTP, M365, database, object storage
- Canonical Data Model (CDM), vendor schemas map to a single standard
One canonical model, and it flows both ways
Every connector maps into the same Canonical Data Model (CDM), the single standard vocabulary at the centre of HealthOS. That's what turns a pile of vendor schemas into one queryable record, and it's what lets HealthOS be the integration hub rather than another silo: changes don't just flow in, they flow back out to the systems that need them.
- Every source normalises to one model, the same record drives care, analytics and government submissions
- Write-back channels push CDM changes out to your other systems, event-driven and near-real-time
- Loop-safe by design, a system is never sent its own changes echoed back
- Deletions propagate as safe tombstones with a vendor-appropriate transition, never a destructive hard-delete
The systems HealthOS connects to.
HealthOS connects across the systems Australian providers already run, through the connector marketplace, warehouse replication and standards-based interfaces. Here are the categories; tell us your exact systems and we'll confirm the fit.
- Clinical & EMR
- Electronic medical and clinical care records, via FHIR, HL7 v2 or direct feeds.
- Aged & home-care admin
- Residential and community care administration and rostering systems.
- ERP & finance
- Finance, billing and enterprise resource planning systems, read and write.
- Diagnostics
- Pathology and radiology / imaging results feeds.
- Government gateways
- Services Australia and the Department of Health, ACWS, ECLIPSE, HI Service, GPMS.
- Standards & files
- Any FHIR R4 or HL7 v2 source, plus CSV, SQL, SFTP and cloud warehouses.