Health data semantics and interoperability
Health data and the exchange of information underpins the viability of healthcare systems.
Our research focuses on improving health data and extracting value from it. This will improve patient outcomes and health system performance.
We apply informatics, machine learning, natural language processing, and formal logic to problems involving decision support, systems modelling and integration, and reporting and analytics.
Research areas include:
- Clinical terminology
- Health data and FHIR
- Data engineering
- Data interoperability
- Text analytics
Our technologies enable interoperability, advanced and effective use of data captured in electronic medical records, through the development of products and services to support the use of clinical terminologies such as SNOMED CT and interoperability standards such as FHIR®.
Our technologies include:
- FHIR native terminology and classification tools: Ontoserver, Snapper, snoMAP, Snorocket, Shrimp
- OpenSource FHIR tools: RedMatch, Pathling
- Natural language processing tools: Medtex
The Australian e-Health Research Centre (AEHRC) is CSIRO's digital health research program and a joint venture between CSIRO and the Queensland Government. The AEHRC works with state and federal health agencies, clinical research groups and health businesses around Australia.