Health Data Interoperability


Dr Alejandro Metke
Team Leader
Health Data Interoperability

The health data interoperability team is at the forefront of research and development in the use of standard clinical terminologies and information models for exchanging information between clinical systems.

Our Science

Our main scientific goals include improving clinical data quality (accurately capturing meaning) and effectively dealing with patient information spread across the Australian healthcare system.

Key challenges include:

  • Mechanisms to formally define clinical concepts by domain experts with no logics background.
  • Effective concept search to improve data quality during capture.
  • Automatic generation of mappings between code systems to improve semantic interoperability of coded data.

Impact on the Health System

AEHRC technologies are now being used to collect data using key healthcare standards, such as FHIR, and standard terminologies such as SNOMED CT. The aim of these technologies is to increase the value that can be gained from electronic health data, and improve patient outcomes as well as health system performance and productivity.

 

Software

Clinical Terminology Tools

The Australian health system is currently transitioning to a fully electronic system. The Australian health system is currently grappling with the transition to a fully electronic system which will enable health data to be accessed as...

November 19, 20170

Shrimp

Shrimp is HTML5, SVG, and Javascript based, and runs in most modern web browsers. Shrimp is a browser for hierarchical terminologies like SNOMED CT and AMT in a HL7 FHIR Terminology Server like Ontoserver....

November 18, 20170

Snorocket

Snorocket is an implementation of the Dresden algorithm that is tuned for classifying the SNOMED CT clinical terminology. Snorocket Snorocket is an implementation of the Dresden algorithm that is tuned for classifying the SNOMED CT...

November 17, 20170

Case Studies