From care record to research dataset.

Your care data becomes research-ready without a data project every time. FHIR R4 / AU Core aligned clinical data, coded to SNOMED CT-AU and ICD-10-AM. Build cohorts, de-identify and export, without a data warehouse.

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See it in motion.

A short, narrated explainer. Captions included.

Research-ready by design.

Cohort builder
Query the clinical record by diagnosis, age, service type, assessment score or any coded field. Build research cohorts from real operational data.
De-identification
Remove direct identifiers from datasets before export. Names, addresses and identifiers removed, the MRN hashed, and dates of birth generalised to age bands.
FHIR R4 / AU Core export
Export cohorts as FHIR R4 bundles conformant with AU Core profiles, CSV or JSON. Standard formats that slot straight into research tools and statistical packages.
Structured from the start
Every clinical entry is captured as structured data against Australian terminology standards at the point of care, not cleaned up for research after the fact.
AI clinical handover
De-identified clinical records sent to your own cloud LLM. Generate handover summaries, discharge letters and clinical insights, data never leaves your sovereign boundary.
Common Data Model browser
Browse and query the underlying CDM directly. Understand the data shape, inspect value distributions and verify coding completeness before building cohorts.
Randomisation & trial support
Run interventional studies without standing up a separate EDC or CTMS: randomised allocation with configurable arms and ratios; every allocation recorded.
Event scheduler
Define study visit schedules with windows and tolerances. HealthOS tracks participant progress against the protocol timeline and flags overdue assessments.
Research consent management
Track informed consent by study, version and participant. Manage withdrawal, re-consent for protocol amendments and maintain a complete consent audit trail.

Build research cohorts from live clinical data.

Query by diagnosis, assessment score, service type or any coded field. De-identify and export as FHIR R4, CSV or JSON, without a separate data warehouse.

HealthOS Research Cohort Builder showing condition-based query interface with age, care setting and residential state filters

Cohorts from operational data

Most research platforms require a separate data warehouse, a separate ETL pipeline and a separate coding exercise. HealthOS captures structured, coded clinical data during normal care delivery. The same record that drives service orders and progress notes is the record you query for research.

  • Query by ICD-10-AM diagnosis code
  • Filter by assessment scores and clinical observations
  • Segment by service type, funding stream or location
  • Combine criteria across the full clinical record

De-identification you can trust

Export research-ready datasets with identifiers removed. The engine removes direct identifiers (names, Medicare numbers, addresses), hashes the MRN, and generalises dates of birth to age bands. Every export carries a de-identification audit trail an ethics committee can inspect.

  • Direct-identifier removal
  • MRN hashing
  • Date of birth generalised to age bands
  • Audit trail for every export

From care setting to publication

HealthOS bridges the gap between operational care data and academic research. Clinicians and researchers working within the same organisation can move from a clinical question to a structured dataset without waiting for a data team to build a pipeline.

  • FHIR R4, CSV and JSON export formats
  • Cohort definitions saved and reproducible
  • Ethics-ready data extracts with a de-identification audit trail
  • 7-year longitudinal data from the audit trail

AI on your terms

HealthOS de-identifies clinical records and sends them to a large language model running in your own cloud account. Generate clinical handover summaries, discharge letters and research insights, without patient data ever leaving your sovereign boundary.

  • De-identified before it reaches the LLM
  • Runs in your own cloud account, not a shared API
  • Clinical handover, discharge summaries and shift reports
  • Full audit trail of every AI interaction

Trial-grade infrastructure

HealthOS goes beyond cohort extraction. The research module supports full study lifecycle management, from protocol design through participant enrolment, randomisation, scheduled assessments and compliant data export. All within the same platform clinicians use daily.

  • Randomised allocation with configurable arms and ratios; every allocation recorded
  • Protocol-defined visit schedules with windows and tolerances
  • Informed consent tracking by study, version and participant
  • Overdue assessment tracking
  • Common Data Model browser for data shape exploration

Research across every care setting

See the research platform in action.

We will walk you through it on real data. Bring questions.