Big Data Analytics- Innovations at the Edge

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1 Big Data Analytics- Innovations at the Edge Brian Reed Chief Technologist Healthcare

2 Four Dimensions of Big Data 2

3 The changing Big Data landscape Annual Growth ~100% Machine Data 90% of Information Human Information ~10% Business Data 3 10% of Information 3

4 Big Data shift Human data Volume of data Mobile apps System logs Data centers Compliance archives Internet of Things Technology gap Machine data Busines s data Data Sensors Social networking Photo sharing Wearable devices Time 4

5 Big Data for Healthcare Revenue management Claims EMRs ICD 9-10 Meaningful use Lab/radiology notes P4P reporting Quality reporting Clinical quality measures Transcription Population health mgmt Billions of daily interactions Millions of daily transactions Video conferences Downloads Call notes SMS Web chat Blogs Social networks Mobile apps Sensors Survey response s Enterprise information that comes from line of business systems that provide structured database information that is used to run the business & Global information that comes from internal and external unstructured sources that is used to gain insight on the business drivers 5

6 Use Cases 6

7 Challenge: Analytics requires a Platform Approach Types Descriptive Diagnostic Predictive Prescriptive Process Acquisition Preparation Visualization Analysis Presentation Collaboration Data Type Structured Tables Semi-Structured Unstructured Documents Images Audio Video Skill Set Business Users Programmer Database Expert Statistician Mathematician Subject Matter Expert Speed Batch Interactive Real-time 7

8 The Universe of Healthcare Analytics Use Cases Where to Begin? Voice of Customer Payment Integrity Provincial Health Plans Provider Search Resource utilization Risk Adjustment Population Health Care Coordination Longitudinal Analytics in Epidemiology Compliance Benefit Integrity Customer Satisfaction Patient Safety Provider Government Clinical Decision Support Cost Reduction Evidence Based Protocols Reporting Genomics Generics Syndromic surveillance Life Sciences Pricing Strategy Adverse Drug Event Reporting Patients-Support Education Accelerated Drug Development Personalized Medicine Voice of Customer Adoption considerations Demonstrable ROI "Evidence" for clinical change Workflow modifications Availability of input data Sponsor for change Legislative drivers Privacy issues/ worries 8

9 Research for U.S. News and World Report ranking study Challenges: Quality and clinical effectiveness research on ~115K patients, ~390K encounters, ~3M documents Diverse data types (structured and unstructured) across data silos involved Time constraints vs extensive search scope Solution: HP Healthcare Analytics Cross patient search for cohort identification Intuitive UI for intuitive construction of increasingly complicated query filters Easy clinical note review with textual highlights, intra/inter record navigation, and related concepts Portable queries and results Real-time querying, fast indexing 9

10 Navigation of diverse unstructured clinical documentation Challenges: Near to real-time provider records access required to drive clinical data-driven decisions Over 140M patient records (dated back to 1980 s) collected on different systems scattered across silos Current DB repository with requirement for expansion to Word and PDF formats 10 Solution: HP IDOL Clinician s next gen information discovery based upon conceptual searches Cover patient problems, procedures, medications, allergies, health maintenance topics & encounter notes Provides a single unified physician portal interface to quickly locate individual records Custom analytics application built on extensible IDOL platform to uncover patterns and Copyright concepts 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

11 Public Health Real Time Health System Convergence data and technology SMAC Social: participant generated data, real-time feedback Mobile: mobile apps for tracking and real-time feedback Analytics: dashboard for personalized and population analytics Cloud: leverage Haven-As-A-Service Interactive Engaging Gaming Social media Clinical knowledge Analytics Slice and Dice Discover Devices and sensors Electronic health records Real-Time Convergence 11 Awareness

12 12 1 2

13 13 1 3

14 Estimation of the number of wearable healthrelated devices - ranging from heart monitors to biosensors that will be sold annually by million 14 Source: ABI research 2014

15 Healthcare wearables and Big Data: the perfect match Citizens w/ wearables Big Data Researchers & experts Empowered patients Knowledge DB 15

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