Sourcing & working with Big Data Asking the Right Questions

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1 Sourcing & working with Big Data Asking the Right Questions Benjamin Bor Big-Data National Practise Lead SMS Management & Technology Proudly Sponsored by:

2 2

3 Aging Active Population Through History: Didn t expect to get old Through 20 th Century: Expected to get old gracefully 21 st Century: Expect to get old and stay healthy 3

4 Personal Health Control 4

5 Large Amounts of Data Available But Not Used 5

6 Genetic Analysis 6

7 7

8 Unlimited Computing 8

9 Artificial Intelligence The ancient "Lion of Nimrud" went missing from this city's national museum in 2003 (along with a lot of other stuff) : Baghdad Paganini's "24 Capricci" set the standard for etudes for this instrument :Violin You just need a nap! You don't have this sleep disorder that can make sufferers nod off while standing up : Narcolepsy A thief, or the bent part of an arm : Crook 9

10 Information Linking 10

11 Personal Level: Quantified Self Data Creation Data Curation Governance Level: Big Data 11

12 New Paradigm ALL the Data, Real Time Big Insights 12

13 Big Data in USA Government In 2011, around $200 million was put forth toward the development of BIG Data research projects. The goal was to look for solutions in some of the more pressing areas like Health care Criminal fraud Emergency preparedness Police operations Each of these areas of government routinely deal with very large databases of information and generally aren t used in any particularly strategic manner; hopefully with the introduction of BIG data analysis however, this will change. 13

14 Potential Uses in Government Healthcare Quality and Efficiency The increased use of electronic health records (EHRs) coupled with new analytics tools presents an opportunity to mine information for the most effective outcomes across large populations. Using carefully de-identified information, researchers can look for statistically valid trends and provide assessments based upon true quality of care. Healthcare Early Detection Big Data in health care may involve using sensors in the hospital or home to provide continuous monitoring of key biochemical markers, performing real time analysis on the data as it streams from individual high-risk patients to a HIPAA-compliant analysis system. The analysis system can alert specific individuals and their chosen health care provider if the analysis detects a health anomaly, requiring a visit to their provider or a 911 event about to happen. This has the potential to extend and improve the quality of millions of citizens lives. Fraud Detection Healthcare Benefits Services Big Data can transform improper payment detection and fundamentally change the risk and return perceptions of individuals that currently submit improper, erroneous or fraudulent claims. For example, a significant challenge confronting the Centers for Medicare and Medicaid Services (CMS) is managing improper payments under the Medicare Fee-For-Service Program (FFS). The FFS distributes billions of dollars in estimated improper payments.7 Currently, contractors and employees identify improper payments by selecting a small sample of claims, requesting medical documentation from the provider who submitted the claims, and manually reviewing the claims against the medical documentation to verify the providers compliance with Medicare s policies. Source: Demystifying Big Data: A Practical Guide to Transforming the Business of Government Tech America foundation,

15 Big Data 15

16 Industries that Big Data has Transformed Politics Travel Music Publishing Retail Dating 16

17 Are There Similarities Between These? Crowd-Sourcing many participants, detailed data Non transactional no need for 100% correctness, 100% availability Require high level of audience participation Must motivate the audience to participate what s in it for me As the landscape changes, organisations need to adapt 17

18 Starting the Journey Asking the Right Questions 1. How will Health be different with Big Data? 2. What relevant data are we not currently using? 3. How do we motivate people to share their data? 4. What are the low hanging fruit? Have a daring vision, Deliver a great first step, Plan the next three steps. 18

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