Overview. Big Data 2014 D Cross. 3rd April

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1 Overview Health: Big Data, Big Opportunity Despite the significant volume, variety and velocity of health data being generated there are few actual applications of Big Data in Healthcare. Health Analytics has some catching-up to do in comparison to other fields, but tools and approaches are ready and waiting. Health Dialog A business unit of Australia New Zealand which is committed to helping people live longer, healthier, happier lives. Primary capabilities are Analytics & Health Coaching, building on the foundational work of Dr John Wennberg and the Dartmouth Institute for Health Policy & Clinical Practice (USA) 3rd April

2 Health: Big Data 2013 Big Data Conference Diagnostics vs. public health Lots of engaging presentations Crowd-sourced data Geographic Analysis Quantified self But application was limited: if we had data we could. 3rd April

3 Health: Big Data Does it exist? In the financial year ended 30 th June ,970,560 MBS items were processed by Medicare 197,889,484 PBS & RPBS Items were processed At 31 st March ,514,805 PCeHR Consumer registrations has 3.6 million members with > 20 million health transactions over the last 36 months. 45 Aged Care services 15 Optical services + international services 3rd April

4 Our Big Data Use our data to create a health view Link together the various data items which describe a persons interaction with the health system: Hospitalisations Medical claims Ancillary / Allied Health Services GP visits (where available) Pharmaceutical (where available) Standardised processes Transferable to other sources: Public, Private, Insurance/Compensation 3rd April

5 Our Big Data Data is only useful if you do something with it. Understanding the health of a population Use the data to uncover previously unseen features Recognise What needs to be done Targeting interventions and prevention activity Optimise the impact of the activity Recognise Who needs to be targeted Clinical Reporting & Pathway Opportunities Understand where change needs to occur, and where change has occurred Provide information to support the clinicians and improve care for patients 3rd April

6 Health: Big Opportunity Population Analysis Generate a profile of each and every patient Demographics Condition attribution Admission types Readmissions Frequency Allied health provision Social supports Costs Understand what is driving the essential features of the population 3rd April

7 Health: Big Opportunity Targeting Intervention vs. Prevention Predictive modelling Costs Admissions Readmissions Conditions Preference Sensitive Conditions Population Insight 3rd April

8 Health: Big Opportunity Clinical Reporting & Service Utilisation Improve service delivery with information Provider attribution Consolidated treatment reporting Care pathway opportunities 3rd April

9 Conclusion Big Data in Healthcare From a public health perspective big data is hard to define. For various reason the accessibility of data lags behind other commercially orientated fields. The case for big data has been made and demonstrated in many other fields. Furthermore we have techniques and processes ready and waiting once the data catches up. But we shouldn t get dissuaded by the lack of big data. The opportunity to use these techniques and processes on any data will improve the efficiency and effectiveness of healthcare provision. 3rd April

10 David Cross, Health Analytics Manager Health Dialog 3rd April