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Big Data: Challenges and Opportunities for Healthcare

Big Data: Challenges and Opportunities for Healthcare. Joe Paxton Healthcare and Life Sciences Sales Leader. Course Presenter Bio Overview. Joe Paxton - Healthcare and Life Sciences Sales Leader , General Business North America.

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Big Data: Challenges and Opportunities for Healthcare

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  1. Big Data: Challenges and Opportunities for Healthcare Joe Paxton Healthcare and Life Sciences Sales Leader

  2. Course Presenter Bio Overview • Joe Paxton - Healthcare and Life Sciences Sales Leader, General Business North America. • Joe is responsible for leading IBM's sales resources to 1400 Providers and 400 Life Sciences clients in the United States and Canada working with IBM Account Teams, Business Partners and ISV‘s • He has 28 years sales and management experience working primarily with Healthcare and Life Sciences Industry Clients throughout the United States. • Prior to his current assignment, Joe was the Territory Director responsible for sales in the Mountain West Region including Colorado, Nevada, Utah, Wyoming and Montana.

  3. Course Overview • What are the challenges facing healthcare today? • What is Big Data? • What’s the value of addressing Big Data in healthcare? • How can healthcare organizations address the challenges of Big Data?

  4. What are the challenges facing healthcare today? The effective use of information will transform healthcare

  5. What is Big Data? • INSERT COPY AND/OR PHOTOS • CAN DUPLICATE SLIDE • CAN CHANGE SIZE OF IMAGE, ETC.

  6. Big data spans three dimensions: Volume, Velocity and Variety Velocity Often time-sensitive, data must be analyzed as it’s streaming in to maximize its value to patient care (e.g. patient monitoring) Variety Structured and unstructured data: clinical notes, audio transcription, imaging, click streams Volume in petabytes Electronic medical records, images, digital pathology, email, web communications

  7. What’s the value of addressing Big Data in healthcare? Bringing big data to the enterprise Examples of value: • Access medical images from across the organization to speed patient diagnosis • Capture and analyze physiological data in ICU’s 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 • McKinsey Global Institute – May 2011: • Big Data: The next frontier for innovation, competition and productivity

  8. How can healthcare organizations address the challenges of Big Data? Smarter Computing for healthcare

  9. Designed for Data: Extending beyond traditional sources of data and generating insights from new forms of information Traditional Approach Structured, analytical, logical New Approach Creative, holistic thought, intuition StructuredRepeatableLinear Standard reporting Operational metrics, KPI’s Quality core measures Clinical/business insights UnstructuredExploratory Iterative Clinical notesMedical imagingConsumer behavior and preferences Compliance management Health Information

  10. All forms of information can be incorporated into an enterprise’s information supply chain and storage infrastructure Transactional & CollaborativeApplications External Information Sources Business Analytics Applications

  11. Questions: • Is your healthcare organization getting the most out of your data? • Are you able to collaborate on and extract insight from your data quickly? • Can your data react to clinical and operational requirements in ‘real-time’? Mine Data in Motion Combine‘in the moment’ with large-scale‘after the fact’ Harness the information explosion

  12. Virginia Commonwealth University Medical Center VCU needed to transform its IT infrastructure to better support its growing information environment • Enabled patient care at any time, from anywhere • Consolidated, deduplicated and eliminatedredundant data, recovering storage capacity • Integrated information for a single version of the truth • Automated system configurations for better efficiency • Supported information access through the Cloud • Reduced security threats and improved IT securityby consolidating disparate devices • Added stability and resiliency and reduced system overhead and downtime and business risk To transform economics and enable innovation:

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