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A Health Catalyst Overview: Learn How a Data First Strategy Can Drive Increased Outcomes Improvement

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Without the pressure of a one-on-one demo, you can join a crowd of peers to ‘kick the tires’ if you will, as you listen to Jared Crapo—a sought after healthcare strategist—talk about what a data-first strategy is, and the strategic components to a data-first strategy employing a data operating system, a breakthrough engineering approach that combines the features of data warehousing, clinical data repositories, and health information exchanges in a single, common-sense technology platform that turns data into actionable assets used for all types of outcomes improvements.

Lest you worry about too much ‘pie in the sky’ strategy talk with few results to show, Sam Turman, Senior Solution Architect, will provide tangible solution demonstrations that are driving material results. Even if you aren’t in the market for Health Catalyst solutions and services, you will be able to:

Think with more clarity through your approach to overcoming the current market challenges.

Reconsider the strategy you are employing to build cross-organizational awareness and support to put a data-first plan at the center of your plan.

Define action you can take today to assess your gaps, understand your options, and accelerate your progress to drive outcomes improvements.

Join us and you won’t be disappointed. Jared is one of those types of thinkers that many pay big money to listen to and it is our fortune to have 60 minutes with him to think deeply about moving healthcare forward, one patient at a time. We hope you can join us.

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A Health Catalyst Overview: Learn How a Data First Strategy Can Drive Increased Outcomes Improvement

  1. 1. How a Data First Strategy Drives Outcome Improvement March 27, 2018
  2. 2. © 2018 Health Catalyst 2 Ignaz Semmelweis
  3. 3. © 2018 Health Catalyst 3
  4. 4. © 2018 Health Catalyst Carbolic acid spray apparatus circa 1880
  5. 5. © 2018 Health Catalyst 5 King Edward VII coronation portrait, 1901
  6. 6. © 2018 Health Catalyst 6 54 years
  7. 7. © 2018 Health Catalyst Harald zur Hausen 7 1976 Published hypothesis that human papillomavirus (HPV) caused cervical cancer 1983 Identified HPV16 and HPV18 in cervical cancers 2006 Vaccine available 2017 60% of adolescent children have been vaccinated 42 years
  8. 8. © 2018 Health Catalyst Poll a. Less than 1 year b. 2-3 years c. 4-5 years d. 6-8 years e. 9 or more years How long does it take your institution to turn high quality medical evidence into common practice? 8
  9. 9. © 2018 Health Catalyst Alzheimer's 9 5.7 million AmericansDeaths up 123% since 2000 $277 billion in 2018 No known way to prevent, cure, or slow progression Source: Alzheimer’s Association, 2018 Alzheimer’s Disease Facts and Figures, March 20, 2018
  10. 10. © 2018 Health Catalyst The use of data to advance clinical practice will have a bigger impact on health care than the discovery of antibiotics. 10
  11. 11. A Data First Strategy Build Institutional Analytic Skills Use Data to Improve Clinical Practice Key Takeaways
  12. 12. A Data First Strategy Build Institutional Analytic Skills Use Data to Improve Clinical Practice Key Takeaways
  13. 13. © 2018 Health Catalyst The Human Data Ecosystem
  14. 14. © 2018 Health Catalyst 6 Rights of a Data First Strategy 15
  15. 15. © 2018 Health Catalyst 6 Rights of a Data First Strategy • EHR data is necessary but not sufficient • Utilize all available data, i.e. socio- economic, environmental, genetic • Generate better data, i.e. activity based costing, patient reported outcomes 16 Data
  16. 16. © 2018 Health Catalyst 6 Rights of a Data First Strategy • Consistent, sharable definitions for: – Metrics – Populations – Identity – Vocabulary • Decentralized stewardship • Culture of data driven decision making and prioritization 17 Data Governance
  17. 17. © 2018 Health Catalyst 6 Rights of a Data First Strategy • From event to insight quickly • Framework to evaluate the cost of slow • Examine the entire process: – Generation or Entry – Movement – Processing – Analysis 18 Data Time Governance
  18. 18. © 2018 Health Catalyst 6 Rights of a Data First Strategy 7 Core Skills Domain Knowledge, Query, Movement, Modeling, Analysis, Visualization, Process Improvement 3 Orders of Complexity • Descriptive: What happened, what’s happening • Predictive: What’s likely to happen • Prescriptive: What interventions will have the biggest impact on the desired outcome 19 Data Time Governance Skills
  19. 19. © 2018 Health Catalyst 6 Rights of a Data First Strategy • At point of care/decision • Variety of form factors and modalities • Everyone in the organization 20 Data Time Place Governance Skills
  20. 20. © 2018 Health Catalyst 6 Rights of a Data First Strategy • Decouple the data from the apps and algorithms • Innovate with new tools and workflows • Apps both consume existing data and produce new data or insights • Enable data-first apps, not just process-first apps 21 Data Time Place Governance Skills Applications
  21. 21. © 2018 Health Catalyst The Data Operating System Data Ingest Real-time Streaming Source Connectors Catalyst Analytics Platform Fabric Data Services Real-time Processing Health Catalyst Applications Data Quality Data Governance Pattern Recognition Hadoop/ Spark Data Export Population & Registry Builder Leading Wisely Care Management Atlas Client-built Applications NLP Touchstone Benchmarks CORUS Cost Accounting Patient Safety Measures Manager ACO Financials Patient Engagement HL7 Data Pipelines Metadata Data Lake Reusable Content AI Models Third-party Apps Artificial Intelligence Pipelines Marketplace SAMD & SMD Fabric Application Services Terminology & Groupers EMR Integration Security, Identity & Compliance Patient & Provider Matching Value Sets & Measures Standard, Extensible Data Models RegistriesFHIR HL7 Analytic Accelerators
  22. 22. © 2018 Health Catalyst 23 Ford or Chevrolet Why the Bias? Huge variation in product performance and customer experience!
  23. 23. © 2018 Health Catalyst 2018 Chevrolet Silverado: “When nothing less than the most dependable will do” Common Structures Reduce Variation 24 What creates dependability? Customize on common platform for specific needs
  24. 24. © 2018 Health Catalyst Common Data Structures Reduce Variation 25 Claims Data: “When nothing less than the most dependable will do” What creates dependability? Customize on common platform for specific needs
  25. 25. © 2018 Health Catalyst ½ Ton Silverado Multiple Common Structures Available… 26 Mid-Size Colorado ¾ Ton Silverado 1 Ton Silverado
  26. 26. © 2018 Health Catalyst Claims Multiple Common Data Structures Available… 27 Populations and Registries Admissions, Orders, Labs, Rx Cost Accounting
  27. 27. © 2018 Health Catalyst Creating Customization in Common Data Structure 28 Measures Builder • Standardize and maintain analytic capabilities around measures within a central repository for all measure. Help inform governance and increase efficiency. Two Health Catalyst Examples Population Builder • Standardize and maintain custom populations for analytic use cases. Quickly define precise population, save, replicate on demand, and publish to downstream applications and tools.
  28. 28. © 2018 Health Catalyst 29 Measure Manager
  29. 29. © 2018 Health Catalyst 30 Measure Manager
  30. 30. © 2018 Health Catalyst 31 Measure Manager
  31. 31. © 2018 Health Catalyst Population Builder Demonstration… 32
  32. 32. A Data First Strategy Build Institutional Analytic Skills Use Data to Improve Clinical Practice Key Takeaways
  33. 33. © 2018 Health Catalyst Institutional Analytic Skills Typical 34 Data Scientist Sr. Analytics Engineer Analytics Engineer Report Writer Ideal
  34. 34. © 2018 Health Catalyst Poll a. Large report queue supplemented with occasional ad-hoc analysis b. Broad access to modern, self-service visualizations c. IT thinks they are doing a good job, but clinicians and the finance team don’t feel their needs are being met d. Analysts collaborate with clinicians and provide real-time insights; data scientists regularly create and update machine learning models e. Data scientists and analytic engineers spend lots of time on Snapchat because there isn’t enough work for them to do How would you describe your institution’s analytic situation? 35
  35. 35. © 2018 Health Catalyst 8 Core Analytic Skills 36 Movement Modeling Query Visualization Domain Expertise Analysis Machine Learning Process Improvement
  36. 36. © 2018 Health Catalyst Descriptive 37 What happened in the past, and what is happening now?
  37. 37. © 2018 Health Catalyst Predictive 38 What is likely to happen in the future?
  38. 38. © 2018 Health Catalyst Prescriptive 39 What interventions will have the biggest impact on the desired outcome?
  39. 39. © 2018 Health Catalyst 0 1 2 3 4 5 Reactive Descriptive Prescriptive Analytic Work-Stream Skill Continuum Health Care Data* Data Query Data Movement Data Modeling Data Analysis Data Vizualization Process Improvement Technical Assessment: Analysts (n=41) Skill Capacity Skill Gap Descriptive Predictive Prescriptive
  40. 40. © 2018 Health Catalyst Consolidate analytic expertise Mentorship and education Outsourcing Strategies to Close the Skills Gap 41 Current Ideal
  41. 41. © 2018 Health Catalyst Mentoring and Education 42 Outsourcing Costs Time Investment Costs Time Value Delivered
  42. 42. A Data First Strategy Build Institutional Analytic Skills Use Data to Improve Clinical Practice Key Takeaways
  43. 43. © 2018 Health Catalyst A Recipe for Sustainable Data Driven Improvement 44
  44. 44. © 2018 Health Catalyst Total Hip (THA) and Total Knee (TKA) Arthroplasty are the most prevalent surgeries for Medicare patients, numbering over 400,000 cases in 2014, costing more than seven billion dollars annually for the hospitalization alone. Today, more than seven million Americans have hip or knee implants, and the number is rising. Furthermore, substantial variation in the cost per case has raised questions about the quality of care. At Thibodaux Regional Medical Center, total joint replacement for hips and knees emerged as one of the top two cost-driving clinical areas with variation in care processes. To address this, Thibodaux Regional maintained its focus on the IHI Triple Aim while developing organizational and clinical strategies to transform the care of patients undergoing THA and TKA. Thibodaux Regional successfully transformed the care processes and outcomes for patients undergoing hip and/or knee joint replacement. Results include: 76.5% relative reduction in complication rate for total hip and total knee replacement. 38.5% relative reduction in LOS for patients with total hip replacements. 23.3% relative reduction in LOS for patients with total knee replacement. $815,103 cost savings, achieved in less than two years. Using Data to Spotlight Variation and Transform Total Joint Care $
  45. 45. © 2018 Health Catalyst Total-Joint: Kip and Knee Demonstration… 46
  46. 46. 6 Rights of a Data First Strategy Data Time Place Governance Skills Applications
  47. 47. Consolidate analytic expertise Mentorship and education Outsourcing Build Institutional Analytic Skills
  48. 48. Use Data To Improve Clinical Practice 76.5% relative reduction in complication rate for total hip and total knee replacement. 38.5% relative reduction in LOS for patients with total hip replacements. 23.3% relative reduction in LOS for patients with total knee replacement. $815,103 cost savings, achieved in less than two years.$
  49. 49. Questions Jared Crapo <jared.crapo@healthcatalyst.com> Sam Turman <sam.turman@healthcatalyst.com>
  50. 50. Thank You

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