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© 2012 TeraMedica, Inc. Big Data: Challenges and Opportunities for Healthcare Joe Paxton Healthcare and Life Sciences Sales Leader
© 2012 TeraMedica, Inc. 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.
© 2012 TeraMedica, Inc. 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?
© 2012 TeraMedica, Inc. What are the challenges facing healthcare today? The effective use of information will transform healthcare Effectively use IT Comply with government regulations Deliver better care Convert to electronic medical records Shift to proactive care Lower costs
© 2012 TeraMedica, Inc. INSERT COPY AND/OR PHOTOS CAN DUPLICATE SLIDE CAN CHANGE SIZE OF IMAGE, ETC. What is Big Data?
© 2012 TeraMedica, Inc. 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) Volume in petabytes Electronic medical records, images, digital pathology, email, web communications Variety Structured and unstructured data: clinical notes, audio transcription, imaging, click streams
© 2012 TeraMedica, Inc. 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 What’s the value of addressing Big Data in healthcare? McKinsey Global Institute – May 2011: Big Data: The next frontier for innovation, competition and productivity
© 2012 TeraMedica, Inc. How can healthcare organizations address the challenges of Big Data? Smarter Computing for healthcare
© 2012 TeraMedica, Inc. 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 Unstructured Exploratory Iterative Clinical notes Medical imaging Consumer behavior and preferences Compliance management Structured Repeatable Linear Standard reporting Operational metrics, KPI’s Quality core measures Clinical/business insights Health Information
© 2012 TeraMedica, Inc. All forms of information can be incorporated into an enterprise’s information supply chain and storage infrastructure External Information Sources Transactional & Collaborative Applications Business Analytics Applications
© 2012 TeraMedica, Inc. 1.Is your healthcare organization getting the most out of your data? 2.Are you able to collaborate on and extract insight from your data quickly? 3.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 Questions:
© 2012 TeraMedica, Inc. Virginia Commonwealth University Medical Center VCU needed to transform its IT infrastructure to better support its growing information environment To transform economics and enable innovation: Enabled patient care at any time, from anywhere Consolidated, deduplicated and eliminated redundant 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 security by consolidating disparate devices Added stability and resiliency and reduced system overhead and downtime and business risk Reduced cost per terabyte by 50-55% Decreased data backup time from 23 to 2.5 hours Boosted storage capacity, targeting a five-to-eight-time increase, avoiding additional hardware investments
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