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2016 IBM Interconnect - medical devices transformation

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2016 IBM Interconnect - medical devices transformation

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Emerging technologies such as Internet of Things, 3D Printing are driving the creation of new business models and forcing the Industry for transformation. The product centric model where the Industry main objective was to develop the device, is moving to software and services model, with the focus on Big Data & Analytics, Integration and Cloud.
The maturation of technologies such as social, mobile, analytics, cloud, 3D printing, bio- and nanotechnology are rapidly shifting the competitive landscape. These emerging technologies create an environment that is connected and open, simple and intelligent, fast and scalable. Organizations must embrace disruptive technologies to drive innovation

Emerging technologies such as Internet of Things, 3D Printing are driving the creation of new business models and forcing the Industry for transformation. The product centric model where the Industry main objective was to develop the device, is moving to software and services model, with the focus on Big Data & Analytics, Integration and Cloud.
The maturation of technologies such as social, mobile, analytics, cloud, 3D printing, bio- and nanotechnology are rapidly shifting the competitive landscape. These emerging technologies create an environment that is connected and open, simple and intelligent, fast and scalable. Organizations must embrace disruptive technologies to drive innovation

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2016 IBM Interconnect - medical devices transformation

  1. 1. IND-1418 Medical Device Transformation: How to be Relevant and Bring Value to Healthcare Session Type : Breakout Session Date/Time : Wed, 24-Feb, 01:15 PM-02:00 PM Venue : Mandalay Bay SOUTH Room : South Seas C Presenter – Elizabeth Koumpan, IBM ekoumpan@ca.ibm.com
  2. 2. Please Note: 1 • IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. • Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. • The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. • The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. • Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.
  3. 3. Ineffectiveness and inefficiency are driving evolution of the HealthCare environment.
  4. 4. The Current Global Health Care Faces Serious Challenges… Global Health Care Outlook Common Goals, Competing Priorities. Rep. Deloitte, 2015. Web. 16 June 2015. Roeder, Amy. Reducing Wasteful Health Care Spending Begs the Question, What Is Waste? Harvard, T.H. Chan School of Public Health. Harvard, T.H. Chan School of Public Health. 2015 Global Health Care Outlook Common Goals, Competing Priorities. Rep. Deloitte, 2015. Web. 16 June 2015. • $7.8T healthcare spend (up to 18% GDP) • Healthcare spend growing at 2.5X the economy (US) • Over 1TB of healthcare data per patient • New clinical insights exceed clinician availability •Evolving FDA requirements for remote patient monitoring solutions •18-25% of population have a chronic disease, consuming 80+% of healthcare spend •20-25+% of major healthcare markets over 65 • Growth of accountable care models • Increasing Patient-Centered Medical Home initiatives • 30% of healthcare/social spend is wasted • 44% of initial cancer treatments are modified 3 Drive to outcome-based, patient-centric healthcare Exploding patient dataChronic disease epidemic Unsustainable healthcare spend Inefficient care Shifting regulatory environment
  5. 5. 4 Emerging Technologies are Driving Change through Economic and Societal Forces Healthcare based drivers Increased Competition and Regulations  More regulations and compliance requirements  Technology enabled new competition Demographics and Lifestyle  Expectations for better quality, value and outcomes  Aging population and escalating incidence of chronic disease Resource Shortages  Shortage of right skills, capabilities and supplies  Shortage of consumer and provider based services Technology driven forces Connected and Open  Proliferation of mobile devices and internet access  Fosters collaboration within the ecosystem Fast and Scalable  Anticipate unknown requirements and quickly address them  Reduced cost of innovation Simple and Intelligent  Reduced and masked complexity  Analytics and insights to drive decision-making HEALTHCARE TRANSFORMATION Organizations must embrace disruptive technologies to drive innovation Social Mobile AnalyticsCloud 3-D Printing Nanotech
  6. 6. The global market for Wearable Medical Devices is projected to reach US$4.5 billion by 2020, driven by the growing need for effective management of chronic diseases, rising healthcare awareness, and launch of innovative health management devices Wearable Applications in Healthcare Span Clinical and Operational Areas Source: Market Research http://www.strategyr.com/MarketResearch/Wearable_Medical_Devices_Market_Trends.asp#sthash.kF3HKQxq.dpuf 4
  7. 7. Technology is the most Important External Force that will Affect the Enterprise 6 “Healthcare is becoming a more customer-driven business and younger consumers are being influenced by other industries, so self-service is key. These consumers wear FitBits and use their mobile devices to access data for do-it-yourself diagnoses. They ‘want it now’ and they’re moving away from making appointments to on-demand medical care.” CFO, Healthcare Provider, US
  8. 8. We need technology that provides better visibility into vast amount of data, linking to the patient and securely shared across the enterprise ecosystems.
  9. 9. Data from Medical Devices is a Disconnected Component of the Health Care Model 8
  10. 10. Medical Device Companies can Deliver the Compelling Experiences Consumers Demand • Better Devices with Better Insights – better value for Health care • Moving from a Product Company to Service Augmented Product Company • Servicing Multiple Ecosystem Customers Demands a Platform Approach “I am taking responsibility for My Health” patient centric Collect device data Present data (alerts, readings) Augment (additional devices, logs, journals, surveys) Aggregate (device data repository) “We are Coordinating Patient Care” provider centric Present data (alerts, readings) Augment (patient data from various sources) Report “We are Managing Patient Costs” payer centric Population Management Risk Stratification Service Utilization Comparative Effectiveness Research “We are Innovating/Leading” Med device business unit centric Trend analytics Competitive insights Customer satisfaction Product Life cycle management “We are collaborating to Improve Standards of Care” ACO ( accountable care organization) model centric Sharing Insights Intelligence as a Services Ecosystem participation 9
  11. 11. Device Data which is not Linked to a Patient – are Useless  The use of device data by an information system varies, presenting problems for users and information exchange.  The device data handling system, which includes the devices, device intermediaries if any, record systems and viewing systems must handle clinically important data and provide access to potentially terabytes of high- resolution monitored patient data, including multiple waveform streams over an extended period.  The device data which are not linked to a patient are useless, and device data linked to the wrong patient are dangerous. 10
  12. 12. The Healthcare industry is Building an Ecosystem with the Patient and Consumer at their Core Note: For the Healthcare industry, the term “consumer” may imply: individual, member, patient, carer or customer Adherence Personalized medicine Workplace safety Employee wellness Community health Digital hospital Transitional care Home care Ancillary care Population analytics Member wellness Preventative care
  13. 13. Medical devices have an opportunity to address the needs by moving from a product company to service augmented product company
  14. 14. New Service and Solution Capabilities will be Required to Deliver Connected Care Solutions Cloud-enabled Ecosystem Operating Models Monitoring & data collection Insight-based Engagement Analytics Transitionto highervalue Legacy Internal Operational Capabilities Diagnostic Product Enhancement •Technology/procedure-centric (‘niche’) •Traditional customers, declining growth •Traditional capex business model •Efficient services Disease Management Solutions • Patient/disease-centric • New customers, double-digit growth • Outcome-based business model • Solution-centric operations Provider Coordinated Care Solutions • Shift to services • Traditional customers, single-digit growth • Monetized services • Hybrid product/service operations Advanced Clinical Decision Support Preventative Support Operational Consulting Chronic Disease Management Clinical Consulting Integrated patient monitoring Aging in Place
  15. 15. Transformative Healthcare Engages the Ecosystem… Community healthPopulation analytics Member wellness Preventative care Digital hospital Transitional care Home care Ancillary care Adherence Personalized medicine Workplace safety Employee wellness 14
  16. 16. Medical Devices can deliver Innovative Healthcare Solutions across Ecosystems  The industry is at an inflection point: we now can address the most difficult problems and turn insight into action due to advances in data availability, analytics, and connectivity.  Big Data enables the aggregation of a wide variety of information, everything from individual genetics and personal health records to environmental conditions and studies of large populations over long periods of time.  Analytics tools, including cognitive systems such as Watson, make it possible to understand all factors affecting health much more deeply, so all participants across the continuum of care, including the patients, can make better decisions.  Cloud computing makes it easier for all parties to share and access information.  And a new generation of mobile devices–including fitness trackers and other home monitoring devices– enables people to gather data about themselves and connect with health advisors and physicians anywhere, anytime.  The industry needs an open platform--with an agnostic host-- who can convene players from across all stakeholders: physicians, researchers, insurers and companies focused on health and wellness solutions 15
  17. 17. Medical Devices are Essential Components of Ecosystems Clinical data data Genomics data data Exogenous data Medical Literature Guidelines Institutional Knowledge • Patient monitoring • Alarm data • Point-of-care devices • In-home patient monitoring 16
  18. 18. Establishing a connected service delivery platform that turns aggregated data into insight and actions enables med tech companies, providers and patients to transform healthcare
  19. 19. An IoT Connected Care Platform serves as the Foundation for Transformative Healthcare Solutions Vital Monitoring Wearables Diagnostic Imaging Systems Analytics, Insights (Intelligence) Care Coordination, Patient Engagement (Integration) Foundation (Instrumentation/Interconnection) Security 360°Holistic Patient View Advanced Clinical Decision Support Coordinated Care Longitudinal Patient Record Predictive Device Management Tele-health Digital Specialist Aging in Place Chronic Disease Management Digital Hospital Post-Acute Transitional Care Outcome- based, patient-centric healthcare Exploding patient data Chronic disease epidemic Care resource shortage New markets for existing product categories New monetized services with existing clients Seamless patient experience Efficient service delivery for existing products 18
  20. 20. Deliver Secure Edge-to-Cloud Solutions Sensor Data History Sensors In-memory Analytics Predictive Analytics Publish / Subscribe Cloud Infrastructure Real-time Analytics Real-time Analytics Operational Analytics Big Data Analytics (no gateway) Big Data Platform Big Data Analytics Smart Gateways for local analytics TimeSeries Service 19
  21. 21. Connected HealthCare Platform Transforms Operational Capabilities to Deliver Solutions, not Technologies 20
  22. 22. We need a solid foundation to remove information barriers, automatically capture data and seamlessly integrate it with analytical insights into healthcare processes to enable smarter decisions
  23. 23. Big Data Analytics Requires Integrated Capabilities that Scale Trusted  Relevant  Governed Analyze Integrate Manage External Information Sources Cubes Streams Hadoop Master Data Unstructured Content Structured Data Streaming Information Quality Security & Privacy Lifecycle Enterprise Data Warehouse Standards Clinical and Transactional Business Applications Content & Predictive Analytics Information Governance ODS Data Model Clinical and Business Analytics Applications • Drug database • Public health • Claims data • Social media • EMR • Labs • Patient Intake • Care coordination • Operational analytics • Patient engagement • Care coordination • ACO dashboards • Similarity analytics • Predictive analytics
  24. 24. A Next Generation Advanced Analytics Platform New / Enhanced Applications Data sources Population Risk Management Regulatory Applications Clinical Applications Predictive Analytics Financial Performance Knowledge Management/Reco mmendations IBM Watson Foundations Big Data & Analytics Strategy, Integration & Managed Services Big Data & Analytics Infrastructure What’s happening? Discovery Why did it happen? Reporting & analysis What could happen? Predictive analytics What’s best? Cognitive What action should I take? Decisions Information Integration, Security & Governance Landing, Exploration & Archive data zone EDW & data mart zone Operational data zone Real-time Data Processing & Analytics Deep Analytics data zone Device Data EMRs Pathology Images Registries Radiological Images Emergency Case Reports Clinical Dictation Data Genomics Registration Schedules Lab / Pharmacy Financial Other
  25. 25. “Cognitive computing will fundamentally change the way the medical patient file is used and perceived. When we can perform a true and concrete analysis of the information, we’ll be able to provide doctors with advice.” CIO, Healthcare Provider, Belgium
  26. 26. IBM Watson Health Cloud Enables Access of Cognitive Clinical Decision Support 25 Health Data ServicesHealth Data Services Imaging PACSWearable Data Patient Monitoring Data Clinical data Genomics data Exogenous data Medical Literature Guidelines Institutional Knowledge DATA SOLUTIONS KNOWLEDGE SOLUTIONSDATA & KNOWLEDGE SOLUTIONS
  27. 27. WATSON Health Capabilities Population Health Management Identify care gaps and enable delivery of timely, coordinated care Social Programs Ensure that care approaches address individuals' social context Real World Evidence Uncover health interventions to inform care approaches Condition Specific Care Apply best care protocols to manage chronic conditions Health and Wellness Empower individuals to live healthier, more productive lives Discovery Solutions Accelerate research and improve treatments options ... Exogenous data Med device Lab & diag. Clinical Genomic Payments & Claims ... Terminology & taxonomy Published texts Scientific journals Medical guidelines Patient cohorts Disease progression Risk Factors Population Analytics Adverse events Drug efficacy Comparative effectiveness Pricing models Provider segmentation Sales deployment Marketing effectiveness Off-label use Patient-trial Matching Site Selection Insights as a service delivered by Watson Health platform Data and Knowledge Ingested by Watson health Platform 26
  28. 28. To support transformation, Industry needs a technology partner that can deliver a new analytical ecosystem
  29. 29. Turn data into insights to drive business and care outcomes • Reduce the number of preventable errors • Deliver improved outcomes at lower costs • Reduce re-admissions • Align resources for the best care possible in the most cost effective way • Integrate and analyze varieties of data, structured, unstructured • Analyze at scale and interact in natural language processing • Leverage cognitive computing systems Enable new ways to engage individuals and across the enterprise • Engage Individuals and families in health and wellness, across care continuum and the enterprise • Extend reach and capacity with mHealth initiatives • Assure comprehensive privacy and secure connectivity across device, technology, venues • Improve patient satisfaction Essential Partner for Healthcare Enterprises Remake the enterprise to support transformation • Drive business agility to meet changing demand, new business models, partnerships and services with cloud • Optimize to lower costs; support transformational initiatives • Apply dynamic models for consumption and delivery of business and IT services • Transfer fixed costs to variable costs for new demands and service opportunities 28
  30. 30. IBM Brings Knowledge and Data Together • Provide an open platform for partners, researchers, providers, payers, pharma, and medical devices companies to develop new solutions and discoveries around Health • Brings together Knowledge and Data – building upon IBM’s strengths in cognitive computing, analytics, security and cloud • The Watson Health Cloud: an open, highly scalable and secure data platform to provide clients, partners and medical researchers with access to clinical, research and social health data • New relationships with leading companies such as Apple, Johnson & Johnson and Medtronic • Three acquisitions: Explorys , Phytel & Merge – advancing our healthcare analytics capabilities • A new business unit: IBM Watson Health dedicated to the advancement of innovation in health insight and solutions IBM is a technology partner that can deliver a new analytical ecosystem that supports the entire spectrum of traditional and big data analytical workloads in collaborative way, while keeping data governed and everything integrated. 29
  31. 31. Use Case: The Ottawa Hospital Brings Mobile Technology Bedside to Achieve Better Care Challenges The Ottawa Hospital had an aggressive goal of becoming a top 10 percent performer in quality of care and patient safety in North America. Care teams were struggling to compensate for manual processes that could be highly variable. Solution IBM provided a care management platform, improving coordination of and visibility into changing patient and hospital conditions, allowing practitioners to collaborate and spend more time with patients. Benefits Improvements in patient flow through electronic closed-loop consults and easy access to patient information Improves quality of care, patient safety, access to specialized resources and the overall patient experience. “I have never had care process improvement initiatives that were as positive as this one, the stakeholders were riveted to our meetings. They were extremely excited about the options they were being presented with.” ~ Glen Geiger, Chief Medical Information officer, The Ottawa Hospital 30
  32. 32. Envision the Future The combination of rapid technology developments together with the expectations of patients and providers is driving lasting changes and transformation in the medical device space. This model where capabilities, such as disease management, are delivered as services through a shared IT Platform, can be extended globally. In this future, Medical device companies can be trusted providers of chronic disease management services, such as for diabetes, congestive heart failure and sleep disorders, partnering with IT Solution Partners for an underlying shared IT platform and business process services 31
  33. 33. Change the future today
  34. 34. Notices and Disclaimers 33 Copyright © 2016 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted in any form without written permission from IBM. U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM. Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. THIS DOCUMENT IS DISTRIBUTED "AS IS" WITHOUT ANY WARRANTY, EITHER EXPRESS OR IMPLIED. IN NO EVENT SHALL IBM BE LIABLE FOR ANY DAMAGE ARISING FROM THE USE OF THIS INFORMATION, INCLUDING BUT NOT LIMITED TO, LOSS OF DATA, BUSINESS INTERRUPTION, LOSS OF PROFIT OR LOSS OF OPPORTUNITY. IBM products and services are warranted according to the terms and conditions of the agreements under which they are provided. Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice. Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary. References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs or services available in all countries in which IBM operates or does business. Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor shall constitute legal or other guidance or advice to any individual participant or their specific situation. It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the customer is in compliance with any law
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  36. 36. Thank You Your Feedback is Important! Access the InterConnect 2016 Conference Attendee Portal to complete your session surveys from your smartphone, laptop or conference kiosk.

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