The South Australian Mental Health Registry: Timely Actionable Insights though Big Data for Better Mental Health Outcomes
© 2017 Flinders University
In order to deliver good and cost-effective health services to the community, there is a need for tools at clinical level that assist in selecting the optimal personalised care pathways according to the individual patient’s characteristics (e.g., clinical co-morbidities, past treatments, biomarkers outcomes), as opposed to guidelines derived from population- based studies and clinical trials. Similarly at a planning level, tools that can make better sense of linked longitudinal data sets with pattern recognition capabilities can provide novel insights and dynamically result in responsive services and policies. Finally, there is a need for decision support solutions that can not only exploit the potential of information within health data sets, but can also be easily implemented to address the clinical and strategy needs of Mental Health services in South Australia. This is a proposal to develop an SA Mental Health Registry for improving outcomes of SA Mental Health Care sector through better use of data.
Public health, Personalised care pathways, Mental health services, Big data
Musiat, P., Winsall, M., & Bidargaddi, N. (2017). The South Australian Mental Health Registry: Timely Actionable Insights though Big Data for Better Mental Health Outcomes. Flinders University.