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Big Data Planning a Course Toward Predictive Analytics A Complimentary Webinar From healthsystemCIO.com Your Line Will Be Silent Until Our Event Begins Thank You! Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661


  1. Big Data – Planning a Course Toward Predictive Analytics A Complimentary Webinar From healthsystemCIO.com Your Line Will Be Silent Until Our Event Begins Thank You! Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  2. Housekeeping • Moderator – Anthony Guerra, editor-in-chief, healthsystemCIO.com • Ask A Question • We will be holding a Q&A session after the formal presentations. • You may submit your questions at any time by clicking on the QA panel located in the lower right corner of your screen, type in your questions in the text field and hit send. Please keep the send to default as “All Panelists.” • Download the Deck • Go to: http://healthsystemcio.com/presentation/bigdata-miller-webinar.pdf • Shortened link below appears on all slides. • View the Archive • You will receive an email when our archive recording is ready. • Separate registration is required. Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  3. Agenda — 45 Minutes • (20 min) David Miller, Vice Chancellor/CIO, University of Arkansas for Medical Science • (25 min) Q&A w/David Miller Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  4. “Big Data – Planning a Course Toward Predictive Analytics” Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  5. Presenter’s Background Clinician (3 years) – Registered Medical Technologist Hospital Operations (3 years) – Lead operations for hospital-based diabetes treatment centers IT Vendor (4 years) – Financial decision support, cost accounting, budgeting, EIS, BI IT and Management Consulting (15 years) – IT, process redesign/improvement, clinical transformation, strategic planning Healthcare IT Leadership (9 years) – Lead 300-bed hospital, then #2 at one of the top academic medical centers in the nation Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  6. Presenter’s Current Professional Roles CHIME CHIME national liaison to AHIMA – (September 2013 – Present) CHCIO Panel Reviewer (2011 – Present) HIMSS Committee Member, National HIE Committee - HIMSS (July 2013 – Present) President-elect, Arkansas HIMSS (July 2012 – Present) Board Member and HIE Chair, Arkansas HIMSS (May 2011 – Present) AAMC Chair, Group on Information Resources - AAMC (June 2013 – Present) Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  7. Presenter’s Current Professional Roles Other Chair, HIE Council - Arkansas Office of Health Information Technology (June 2011 – Present) Advisory Board Member - Pivot Point Consulting, LLC (October 2013 – Present) Academic Medical Centers Advisory Council Expert - Next Wave Connect (October 2013 – Present) Member, Information Technology Task Force - Novation (January 2013 – Present) Member, CIO Council – University Healthcare Consortium (August 2012 – Present) Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  8. What are the challenges facing healthcare today? We are being challenged by policy makers and society to: • Bend the cost curve • Increase quality • Enhance patient safety • Improve outcomes • Shift to proactive care • Effectively use IT • Comply with government regulations • Better educate future providers • Perform comparative effectiveness research Source: AAMC, 2011 Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  9. New Paradigm for Clinical Information Processing Family History | Whole Genome | Clinical Data | Patient Reported | Monitoring Algorithms Clinical Decision Support Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  10. Precision Medicine “State -of-the-art molecular profiling to create diagnostic, prognostic, and therapeutic strategies precisely tailored to each patient's requirements.” “The success of precision medicine will depend on establishing frameworks for …interpreting the influx of information that can keep pace with rapid scientific developments.” N Engl J Med 2012; 366:489-491, 2/ 9/2012 Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 10 Event # 661 951 796

  11. Genetic Testing Today Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 11 Event # 661 951 796

  12. Genetic Testing Today Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 12 Event # 661 951 796

  13. Genetic Testing Today Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 13 Event # 661 951 796

  14. Genetic Testing Today Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 14 Event # 661 951 796

  15. Other New Streams of Data Over the next 3 years • +1 billion smart phones will enter service • 3 billion IP-enabled devices by 2015 By 2016 • 4.9 million patients will use remote health monitoring devices • 3 million patients will use a remote monitoring device via a smartphone hub • 142 million healthcare and medical app downloads The Healthcare Data Explosion • Average person’s EHR ranges from 1 mb to 5 gb (based on age, etc.) • 2012 US digitized patient data – 600 pedabytes to 10 exabytes (est.) • US healthcare data is growing by 15 petabytes a day - currently Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  16. Big Data Definition “ Big Data ” is data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it… Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  17. Analytics trends driving health to Big Data - Optimizations and predictive analytics - Complex statistical analysis - All types of data, and many sources - Very large datasets - More of a real-time - Ad-hoc querying and reporting - Data mining techniques - Structured data, typical sources - Small to mid-size datasets Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  18. Market trends driving health to Big Data • Medical and health capabilities expanding. • Changing demographics, expanding the need for more services. • New care and reimbursement models emphasizing focus on managing health across community and care settings. • Exponential growth in health and medical information from a variety of diverse sources. • Health consumerism generating large amounts of unstructured data through consumers’ participation in social media. Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  19. Innovations Making Big Data Possible • Increased use of electronic medical records (EMRs) and other digital data. • New capabilities to combine and use of diverse data types from internal and external sources. • Low-cost storage and process power. • New software to handle speed and volume, structured and unstructured. • Revolution of clinical user experience — right information at the right time, which improves decision support and care quality. • Real-time and predictive analytics. Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  20. Office of National Coordinator for Health Information Technology • Big data will revolutionize healthcare, says a new five-year strategic plan from the Office of the National Coordinator for Health Information Technology • "Through a learning health system, the right information will be available to support a given decision, whether it is about the efficacy of a treatment or medication for an individual patient, predicting a national pandemic, or deciding whether to proceed with the research and development for a potential new treatment," the plan states. http://www.fiercegovernmentit.com/story/big-data-will-transform-healthcare-saysonc/2011-03-27#ixzz1Y2aW2zea Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  21. The Five Vs of Big Data • Volume – quantity, from terabytes to zettabytes • Variety – structured, unstructured, semi-structured • Velocity – time-sensitive, real-time, predictive • Veracity – quality, relevance, predictive value, meaningfulness • Value – It must solve strategic problems Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  22. Types of Big Data Value • Treatment planning • Health and social services continuity planning • Waste and fraud detection • Increased awareness of consumer trends • Population health management • Surveillance and health management • Improved research Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

  23. Examples of Big Data Value • Access medical images from across the organization to speed patient diagnosis • Capture and analyze physiological data in ICUs in real time to detect problems before they happen • Integrate patient health information, patient preferences and insights from best practices and evidence generation. • Continuously aggregate and analyze public health data to detect and manage potential outbreaks • Analyze clinical data & claims for improved and more predictable outcomes Slide Deck: http://goo.gl/xNC85e Webex Support 1-866-223-3239 Event # 661 951 796

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