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