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Taming the Data Tsunami

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If you printed and stacked up all the healthcare data generated in the US each year, you'd have a stack that reached 1,000 miles into space - 3x higher than the Hubble Space Telescope orbits. How can you manage that much information and extract actionable insights. You have to
1. Know what data is out there
2. Find the most important data for the given question
3. Extract and analyze that data appropriately
4. Implement effective business changes that stick

Veröffentlicht in: Daten & Analysen
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Taming the Data Tsunami

  1. 1. TAMING THE DATA TSUNAMI: 1 Tools, Tactics and New Trials for Next-Gen Population Health Engagement That Drives Change Minimal Data Necessary Value Of Streaming Value Of Diverse Data
  2. 2. 2 Triple Aim Reduce cost of care Improve Population Health Improve Patient experience TRIPLE AIM IN HEALTHCARE
  3. 3. 3 “America’s first priority must be to eliminate avoidable suffering, mortality, and waste in its uniquely costly health care system… delaying payment reform is not an option.” (Harvard Business Review, Oct 4, 2017) “Kaiser Permanente CEO: Health Care Must Mean More Than Coverage” “Delivering better health for all means transforming an industry so when someone needs health care, it is delivered in a 21st century way that combines technology with the personal touch.” - Bernard J. Tyson, Chairman and CEO of Kaiser Permanente (TIME Magazine, Sep 22, 2017) “UnitedHealth, Aetna, Anthem Near 50% Value-Based Care Spending” “The nation’s largest health insurers say they are paying out almost half of their reimbursements via value-based care models sweeping the U.S. medical system.” (Forbes, Feb 2, 2017) “U.S. Health Care Reform Can’t Wait for Quality Measures to Be Perfect” VALUE - THE IMPORTANCE AND URGENCY
  4. 4. PATIENTS VERSUS PEOPLE 4 Episodic patient data is limited to medical observation. Lab / Procedure Results Medical History Prescriptions Medical Claims $
  5. 5. 5 The shift to value-based care, prevention, and population health requires a broader understanding of the person’s life outside of the care setting. Economic Stability Persona Characteristics Fitness and Activity Community Education Neighborhood and Environment Transportation Lab / Procedure Results Medical History Prescriptions Medical Claims$ PATIENTS VERSUS PEOPLE
  6. 6. 6 Traditional Data: history, labs, and visit notes Traditional data + Images Traditional data + Images + SDOH+ Fitness Traditional data + Images + SDOH + Fitness + Interaction amount of new data generated per patient per year Traditional data + Images + SDOH THE RESULTING DATA TSUNAMI
  7. 7. HOW BIG IS HEALTHCARE DATA? 7 New patient data in the US would create a stack of paper 1,000 miles high every year. 1,000 miles 250 miles International Space Station 340 miles Hubble Telescope 35,000 ft (6.6 miles) Commercial Airplane
  8. 8. ...And… Less than 3% Of data produced worldwide will be analyzed by 2025 * Source: The Data Age 2025 White Paper by IDC
  9. 9. STEPS FOR SUCCESSFUL DATA ANALYTICS TRANSFORMATION 9 Business Focused use case Data Ecosystem Analytics/Insights Workflow Redesign Change Management/Adoption
  10. 10. 10 Step 1: Business-focused Use Case • Align payment / reimbursement models by proactively monitoring value-based performance metrics and enabling informed contract negotiations • Improve outcomes, experience and cost by openly sharing provider performance metrics and creating a focus on improvement • Adjust service levels and align offerings to minimize the total cost of care and maximize lifetime total value of patient / member relationships BUSINESS CASE EXAMPLES
  11. 11. 11 The data lake approach allows healthcare organizations to capture and make data available for analysis without necessarily knowing ahead of time how it will need to be used in the future. Touch-it, take-it Data should flow Keep all the changes Schema on demand Monitor usage Document uses DATA LAKE PRINCIPLES Step 2: Data Ecosystem SWIMMING IN THE DATA LAKE
  12. 12. DATA MUST FLOW 12 In order for healthcare organizations to impact business outcomes, front-line decisions need to be supported by analytics based on knowledge of past experiences and information about present conditions. $ Medical and Claims give you a history of past conditions and diseases that can lead to future needs. Social Determinants of Health provide a context for health management and support risk factors. Medical Expertise and Knowledge provides a framework for interpretation and decision support. Monitoring from medical devices, mHealth apps, and fitness trackers provide detailed information about what a person is experiencing right now. Step 2: Data Ecosystem
  13. 13. DATA + RELATIONSHIPS = INSIGHT 13 “The value of a network equals the net value added to each user’s transactions conducted through that network, summed over all users.” -- Beckstrom’s Law The possible combinations of information that could mean something are exponentially greater than the raw data. Step 3: Analytics and Insights
  14. 14. 14 Apply several interventions and track their effect on a large population. Deliver incentives (like coupons) and information (as charts) to users and administrators online. Gather input from as many sources as are available on a daily basis. Create heuristic models and interventions. 1 2 3 4 Step 3: Analytics and Insights POP-HEALTH V1
  15. 15. DROWNING IN A DATA LAKE 15 We have virtually unlimited amounts of data at our fingertips at all times... But what I have sensed is an enormous frustration with the unexpected costs of knowing too much, of being inundated with information. We have come to confuse information with understanding. -- Malcom Gladwell 200 million data points per person annually 7 different source devices 5 different user personas 10,000 wellness articles 8,000 business rules DATA VOLUMES Step 3: Analytics and Insights
  16. 16. POP-HEALTH V2 16 A long-term pilot program and 2+ years of intensive analysis later… Combine: 1. Real-time data from a minimum number of sources 2. Business rules learned from experience and analytical modeling 3. Acceptance and efficacy of previous interventions To Deliver: 1. Nudges that effectively encourage positive behavior 2. Positive health outcomes and experience Step 4: Process Redesign
  17. 17. ACHIEVING POSITIVE RESULTS 17 To achieve positive results with people, it’s more important to know who that person is than to know the minutia of every step they take. Needed data (steps, activity, heartrate, sleep) can come from most smart phones. Has to be personal and contextual Keep messages valuable and fresh Apply user personas to tone and content Personalize communication timing INTERVENTION Step 4: Process Redesign
  18. 18. 18 •Share data insights to explain why we need to make the change Communicate “Why Change?” •Get fingerprints of folks in the redesign of the new process so that they have a sense of ownershipGet folks involved •What gets measured gets done - Develop metrics to measure change regularly (weekly, monthly, quarterly, annually)Develop metrics •Ensure incentives are aligned to implement changeAlign Incentives •Redesign process might need new skills – provide training and support employees for them to be successful in implementing change Provide Support CHANGE MANAGEMENT/ADOPTION Step 5: Change Management / Adoption
  19. 19. KEY TAKEAWAYS Focus on use cases that will produce business value Enhance Data Eco System Apply Advanced Analytics techniques to deliver insights Insights to actions – Redesign processes and workflows Manage change to sustain and deliver business value
  20. 20. Amitech’s expertise lies at the intersection of big data, predictive analytics and cloud-based, enterprise solutions for the healthcare industry. Visit us online at amitechsolutions.com to learn more about how our work is changing the landscape of healthcare and discuss how we can help you solve your most complex data and IT challenges. INFORMED HEALTHCARE FOR BETTER HEALTH. Paul Boal Vice President, Delivery paul.boal@amitechsolutions.com Amit Bhagat CEO amit.bhagat@amitechsolutions.com