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Hope. Care. Cure. How Seattle Children’s Hospital BI Innovation Improves Patient Care

Hope. Care. Cure. How Seattle Children’s Hospital BI Innovation Improves Patient Care. PRESENTED BY. Ted Corbett ted@vizualoutcomes.com Founder, Vizual Outcomes, LLC Former Director, Knowledge Management. Who I am. Ted Corbett Former Director of Knowledge Management

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Hope. Care. Cure. How Seattle Children’s Hospital BI Innovation Improves Patient Care

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  1. Hope. Care. Cure. How Seattle Children’s Hospital BI Innovation Improves Patient Care

    PRESENTED BY Ted Corbett ted@vizualoutcomes.com Founder, VizualOutcomes, LLC Former Director, Knowledge Management
  2. Who I am Ted Corbett Former Director of Knowledge Management Current Founder VizualOutcomes, LLC Former Senior Manager, Business Intelligence at Hitachi Consulting BS University of Colorado MBA University of Washington
  3. What is Cool BI? Enable organization to become data-driven Deliver better, faster and cheaper solutions Maximize people, process and tools Empower End users Align IT to the business - CIO Strengthen core Knowledge Management (BI) teams
  4. We’ve heard lots of myths, comments and questions about our approach… Here are our answers
  5. 1. BI isn’t cool…it’s for nerds.
  6. How did we make BI cool? Introduced data visualization from Tableau Software Empowered the “nerd herd” - Enabled end-users to answer their own questions Top level CIO support and evangelization Refocused knowledge management to support Developed enterprise data warehouse Change from report writers to mentors
  7. 2. I’m not a developer, I couldn’t do this…
  8. Look at what “they” built…demos Clinical Standard Work Research NIH Funding Duplicate lab orders IT Report cleanup Solutions developed by analysts, directors and managers… Not “developers”
  9. 3. Our users aren’t “data people”…
  10. Really? Excel Spreadsheets Explosion of “spreadmarts” Complex macros V-lookups Linked workbooks Shadow IT systems Access database SQL Server under the desk Vendor built silo applications PowerPoint Dashboards Monthly or weekly updates Hundreds of slides Linked to Excel workbooks
  11. 4. The report is wrong and you’re an idiot!
  12. Data exploration Deep domain knowledge The person building the model presenting the data Dig into root cause Chief of Surgery example Questions evolve – building at the speed of thought
  13. 5. We could never train people fast enough
  14. Start small, build incrementally March 2012, 200+ Tableau desktop users Used existing data to get started Bring together the “nerd herd” Learn the data and learn the tool at the same time April 2011 bought enterprise license January 2011 added 10 more desktop licenses Tableau Usage October 2010 Purchase 30 Desktop licenses & Server September/October 2010 Conducted Trial/POC August 2010 – Attended Tableau Customer Conference Time
  15. 6. But this would never work with “my data”….
  16. Analysts everywhere Breadth of KM support Existing analysts in all departments Organizational focus on becoming data-driven Continuous Performance Improvement and Visual systems Demand for information increasing exponentially
  17. 7. My CIO would never go for it
  18. Project Management (Implementations) Customer Service (Operations) Seattle Children’s IS Structure Align IT/IS to Business and Clinical Knowledge Management Applications Enterprise Architecture (The Goal: “Information Solutions”)
  19. Using Tableau Benefits IS Dept Rapid increase in speed to value Enables more focus on governance, EDW, data integration Better empower end-users to ask more questions Increase in self-service access to data
  20. 8. But we’re a hospital, HIPAA would never allow self-service
  21. Security and Privacy Excel spreadsheets and Access DB’s are not HIPAA compliant Bring data together in one place Reduces needs for silo solutions to work around IT AD Authentication improves security and access
  22. 9. We already have several BI tools, we don’t need another one.
  23. Lots of tools, lots of waste Search Time – Too many places to look for answers Complexity – too many unique definitions, poor communication Processing – too much work to interpret data meaning Complexity – too much specialized knowledge required to turn data into information Correction– too many errors caused by manual processes Wait time – processing lag in sending data - data not available to make decisions – only validate previous decisions
  24. 10. We already have a BI strategy, where does visualization fit in?
  25. Integrated Knowledge Management Strategy Monitoring and Analysis Integration EDW Source System Reporting Tools Governance Turning data into Information to make actionable decisions Increasing self-service through standard work
  26. 11. If we enable self-service, my BI team will be out of a job
  27. Different users - different tools Detailed data Specialized skills to access Knowledge Management Focus Transaction Systems (Cerner, Epic, Lawson, TSI) 5% - IT Standard Reports (Business Objects, MS Excel, Access DB 15% Super Users Data Integration 30% - Business Unified Portal Integrated Reporting Users Analytical Tools 50% - Executive Leadership Visual Systems Board General audience Summary data No specialized skills
  28. BI is Cool, look what we can do now! Enable strategic conversations Tool disappears; focus is on data and meaning Ability to quickly adjust perspective Ease-of-use Favorite quote from end-user “IT needs to slow down, you’re giving us too much information, we can’t keep up”
  29. Questions?
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