Professor Karin Verspoor

Deputy Director, Health and Biomedical Informatics Centre
The University of Melbourne

2:50 PM CASE STUDY: Clinical Research Data Sharing to Improve Current and Future Health Outcomes

Sharing of clinical research data strengthens clinical research by providing access to larger patient cohorts or more data on a given cohort.
Research questions that are not viable to investigate in a single data source, due to lack of sufficient numbers of relevant patients or limitations in the richness of data, can become feasible. However, two critical issues must be addressed to support this type of collaborative clinical research: (1) protection of patient privacy, and (2) linkage of data relating to the same individual in multiple data sources.

A key initiative addressing these issues has been the development of BioGrid, a federated framework for privacy-protecting sharing of clinical research data that gives authorised clinical researchers access to rich data sets for ethically approved research projects.
  • Benefits of sharing clinical research data including sharing of knowledge to improve current and future health outcomes
  • Health data analytics and semantic information
  • How can clinical researchers effectively leverage data sharing?

Case study: BioGrid Australia:
  • Overview of BioGrid and current areas of focus
  • What is a federated model for data sharing?
  • What’s next for BioGrid?

10:10 AM PANEL DISCUSSION: Opportunities for Big Data and Health Informatics to Deliver Better Healthcare Outcomes

Big data and health informatics will change the way healthcare is practised. Technology is an enabler in connecting the disparate parts of the healthcare system to better understand what an individual needs and produce better outcomes more cost effectively. Greater exploration in how we can leverage data to improve health outcomes must become a core purpose for every organisation. However, with big data comes the need to ensure better governance of data and cyber security issues and reassessment of workforce capabilities.

Discussion points will include:
  • What are the opportunities for big data and health informatics to improve healthcare?
  • Data governance and cyber security measures that you must have in place
  • Are people within health appropriately skilled to be able to utilise and understand data?
  • How to use of machine learning and predictive modelling in a healthcare context
  • What technology can we leverage to improve decision making and data analytics?