Deakin University in partnership with Max Healthcare will be working on on data analytics for healthcare. The project aims to develop predictive model to enhance healthcare management. Both have signed a Memorandum of Understanding (MoU) to operationalise this collaboration.
In a first of its kind venture, both partners are bringing ‘big data’ to work for medicine with its huge records of patient history – with data on admissions, diagnosis and outcomes, spanning a huge inventory of images, computerised records and registries and the consequent untapped potential to identify critical safety issues, as well as service and clinical efficiencies.
As part of the agreement, Max Healthcare and Deakin University will jointly address this pressing need by leveraging verified techniques in data analytics to support clinical decisions. The outcomes are critically important from economic, patient safety and systems perspectives. The immediate project will focus on heart disease, specifically on patients with index admission (symptoms) of Acute Myocardial Infarction (AMI) or Stroke.
Prof. Svetha Venkatesh, Director, Pattern Recognition and Data Analytics, Deakin University said, “The primary objective of the project will be to search through the existing data sets for hidden patterns of both the predictable and preventable events in managing the healthcare of individuals. This will be done by building sophisticated predictive models, utilising machine learning techniques derived from anonymised hospital patient records from diverse hospital data sources. This paradigm is novel, since it is capable of both hypothesis generation and testing, whilst being agnostic and unbiased to prior assumptions.”
A joint team will analyse the data, extract relevant features and build a validated machine learning model for specific prediction task. The resultant model will be jointly held and shared by the teams at Deakin and Max healthcare as a prototype program. Once successful, the model would be subsequently piloted at Max Healthcare on prospective cases over a period of one year and the predictive accuracy would be calculated and shared with Deakin team.
Dr Sandeep Budhiraja, Clinical Director & Director of Institute of Internal Medicine, said, “This association will be a landmark project and take healthcare management to a different level. We look forward to working with Deakin in order to advance research on data analytics for health data.”