First master’s degree in diagnostic genomics to be delivered in Australia.
Integrating clinical data with genomic data to improve coordination across multidisciplinary teams and drive more effective treatment for patients.
Streamline the processing, management and exchange of genomic information in clinical settings and with researchers.
The genomic information management workstream developed an architecture for Queensland genomic information management, and the standards, policies and procedures to support a common infrastructure for the management and use of genomic data.
The project team developed a prototype system to trial these standards for the capture and use of clinical and genomics data for clinical and research use.
Ensure Queensland’s integrated electronic Medical Record (ieMR) supports genomic medicine.
Queensland Genomics has partnered with Clinical Excellence Queensland and eHealth Queensland to assess the genomic capacity of current clinical information systems used within Hospital and Health Services and provided through Queensland Health’s ieMR rollout, along with capacity to accommodate new genomics services as the need emerges.
The project team are developing a strategically coordinated program to ensure system effectiveness, clinical safety and quality, and the appropriate data governance controls (consent, privacy, security and use and re-use) of patient’s genomic information.
Integrate data to drive more effective treatment for people with refractory epilepsy.
Queensland Genomics will fund an upgrade to the existing Queensland Online Oncology Tool (QOOL) to support the Queensland Genomics Epilepsy Project. Changes to the QOOL system functionality will be made to support the collection and analysis of genomic, diagnostic and treatment data for people with refractory epilepsy.
QOOL is a web-based application used within cancer services and already integrated into Queensland Health. Enhancing the functionality of QOOL will help to capture clinical data to support information management and clinical decision making for epilepsy patients, and could be applicable to other disease areas.