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Before loading Big Data...

Before loading Big Data. Healthcare Business Intelligence Maturity Model. Scott Wanless June 2012. Agenda. Introduction Tackle Maturity Before Tackling Big Data Six Levels What are the levels? What benefit do I get at each level? What is the impact on data usage at each level ?

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Before loading Big Data...

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  1. Before loading Big Data...

  2. Healthcare Business Intelligence Maturity Model Scott Wanless June 2012

  3. Agenda • Introduction • Tackle Maturity Before Tackling Big Data • Six Levels • What are the levels? • What benefit do I get at each level? • What is the impact on data usage at each level? • Getting Started Now • Assessing current level • Choosing appropriate level for the organization • Preparing your business, clinical and data people

  4. Introduction Scott Wanless Healthcare Analytics Practice Director 920.585.9630 | scott.wanless@cipeconsulting.com CipeConsulting Group, LLC 22500 SE 64th Place | Suite 230 Issaquah WA | 98027 • Background: • Analytics strategist • Business analyst • Author • Speaker • Wilderness survival expert • Published works and presentations can be found: • Book.Business Intelligence and Analytics for Healthcare Organizations • Articles.BeyeNetwork (www.b-eye-network.com) Click on Healthcare channel. • Teaching.BeyeUniversity (www.beyeuniversity.com/topics/business-intelligence/) • Healthcare Data Warehouse Association • Patient Safety and Quality Healthcare • Continuing Care News • American Health Insurance Plans Coverage • Managed Healthcare Executive • DM Review • CIO Update • The Center for Business Innovation • HIMSS Oregon Chapter, HIMSS Washington Chapter • Healthcare Finance Management Association (HFMA) • Healthcare Business Intelligence Summit

  5. Need for Healthcare BI Maturity Model • Big Compliance • Big Reform • Big Consolidation • Big Data • Big Cost Control Pressures • Big Operating Model Changes...clinical, financial and operational

  6. Healthcare BI Maturity Model — Levels 1 = Risky and Costly Hazard 2 = Developing Asset Breakeven Point 3 = Self-Sustaining Producer 4 = Performance Driver Breakthrough Point 5 = Game Changer 6 = Industry Driver

  7. Truck Metaphor 1 • = Risky and Costly Hazard • Old truck we had in college. It usually runs and we get a few hauling jobs. 2 • = Developing Asset • Decent truck. Managed routes. Hauling jobs just about cover costs. Breakeven Point 3 • = Self-Sustaining Producer • Specialized trucks. Methodology. Each job pays for itself and provides profit. 4 • = Performance Driver • Onboard electronics tells us best routes for efficient fuel and labor usage. Breakthrough Point 5 = Game Changer Container trailers let us be in land, sea and air freight business. 6 • = Industry Driver • Our skill gives us negotiating power, and we get consulting jobs.

  8. Healthcare Analytics from Business Perspective 1 • = Risky and Costly Hazard • Ad hoc reporting, overworked staff, inconsistent calculations, lots of paper. 2 • = Developing Asset • Installed tools, learning mode, early governance structures, investing. Breakeven Point 3 • = Self-Sustaining Producer • Mature BI environment, specialized applications paying for the asset. 4 • = Performance Driver • Analytics tell us optimal decisions within current business and clinical model. Breakthrough Point 5 • = Game Changer • Shows us new business and clinical opportunities and how to get there. 6 = Industry Driver Negotiating power, clinical authority power, sought as industry beacon.

  9. Healthcare Analytics from Data Perspective 1 = Risky and Costly Hazard Dusty data files, spreadsheets, three-ring binders, inconsistent definitions. 2 = Developing Asset Data marts and data warehouse, data governance and data quality formation. Breakeven Point 3 • = Self-Sustaining Producer • Data organized, integrated, managed by business for business. 4 = Performance Driver Big data is mined, prediction algorithms running, insights stored for trending. Breakthrough Point 5 = Game Changer Inbound external data used for evidence-based business and clinical decisions. 6 = Industry Driver Conclusions database used by partners to comply with us. Skills licensed out.

  10. 1 2 3 4 5 6 Getting from Level to Level

  11. Getting from Level to Level 1 2 3 4 5 6 Risky and Costly Hazard Developing Asset • Examples • EHR package reporting • Ad hoc reporting • Scattered data files • Spreadsheets galore • Overworked IT staff • Three-ring binders • Paper, paper, paper • Knowledge could walk out door at any time • Plus • The devil you know • Feels cheap • Steps to Next Level • Champion BI • Sponsor BI • Understand data as an asset. • Talk with peers at other organizations • Look at tools (front and back end) • Skill up in data warehousing • Minus • Harms patients • Drains profits • Slow, messy • Inconsistent • Locks in data silos

  12. Getting from Level to Level cont’d 1 2 3 4 5 6 Developing Asset Self-Sustaining Producer Breakeven • Examples • Core measures reporting • Patient registries • Patient safety reporting • Dashboards • Scorecards • EDI transmissions • Beginnings of... • Data governance • Data stewardship • Data quality program • Plus • Building trust • Establishing processes • Learning the tools • Steps to Next Level • Build management structures, processes and methodologies • Think like a portfolio manager • Most important • Skill up and outin project and product management • Minus • Still dependent on outside funds • Significant effort to develop

  13. Getting from Level to Level cont’d 1 2 3 4 5 6 Self-Sustaining Producer Performance Driver • Examples • Outcomes analysis • Clinical quality • Case management • Clinical guidelines • Patient safety • Public reporting • Cost control • Physician report cards • Project methodology • Service request process • Analytics marketing • Plus • Applications paying for self • Smoother processes • Steps to Next Level • Get comfortable with data-driven decisions • Invest in technology to handle big data • Most important • Skill up in tweaking algorithms, learning from models, etc. • Minus • Staff constraints • Must tell analytics capability what to show

  14. Getting from Level to Level cont’d 1 2 3 4 5 6 Performance Driver Game Changer Breakthrough • Examples • Demand prediction • Smart staffing • Care model improvement • Epidemiology support • Claims analysis • Revenue cycle management • Reusable compliance • Value stream design • Statistical process control • Data mining • Predictive analytics • Big data (internal) • Plus • Data tells us optimal decisions and why • Steps to Next Level • Get comfortable with external data • Establish cross-organizational governance • Most important • Get out of the healthcare shell • Minus • Effort to tweak algorithms • Investments • New skillsets required

  15. Getting from Level to Level cont’d 1 2 3 4 5 6 Game Changer Industry Driver • Examples • Claims prediction • ACO support • Strategic planning • New service lines • New patient groups • New clinical processes • Clinical trials support • Access and outreach • Personalized medicine • Big data (external) • Plus • Identifies new business and clinical opportunities • Steps to Next Level • Think of analytics capability as a business entity • Think like a teacher • Think like a venture capitalist • Think like an orator • Treat data blocks like assets • Minus • Trust in machine-derived conclusions • External data is a new world

  16. Getting from Level to Level cont’d 1 2 3 4 5 6 Industry Driver • Examples • P4P negotiation • Care model design • Public measures design • Lean / Six Sigma • Prescriptive operations • Industry best practices • Category management • Plus • Power • Steps to Next Level • Next levels? • Minus • Exposing Competitive “Secrets”

  17. Choosing a “Level” for Your Organization 1 = Risky and Costly Hazard Degree of Pain 2 = Developing Asset Breakeven Point 3 = Self-Sustaining Producer Desired Payoff 4 = Performance Driver Breakthrough Point 5 = Game Changer Size of Investment 6 = Industry Driver

  18. Tackle BI Maturity Before Tackling Big Data

  19. Thank you! Thoughts? Questions?

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