Gain valuable insight into how to leverage complex dimensional analytics for improved clinical, operational & financial outcomes across your surgical operations, including: best practices for implementing a robust surgical analytics platform and approach, success stories of leading healthcare organizations that are using analytics effectively in various settings, how analytics informs and enables strategic decision-making in challenging economic times, and how implementing an analytics solution can be affordable, fast & customizable to your business.

1. BI Analytics FastTrack Surgical Analytics Driving Clinical, Operation and Financial Outcomes May 11, 2010

2. Contents

4. Surgical Services Analytics

5. Financial & Strategic Analysis & Planning

6. Chronic & High-Cost Conditions

7. Longitudinal Record of Care

8. Quality of Care

9. Patient Safety

10. Personalized Medicine

11. Performance Improvement

12. Productivity

13. Streamlined / Lean Processes

14. Marketing Analytics

15. Relationship Marketing

16. Risk Management

18. Disease Management

19. Clinical Care Services

20. Sales & Marketing Analytics

21. Customer Value Assessment

22. Market Share / Campaign Management

23. Members & Groups

24. Risk & Provider Performance

25. Financial

26. Provider Analytics

27. Provider Profiling

28. Workforce & Operations

29. Marketing & Competitive Context

32. What is the impact of delays, cancellations, overruns, add-ons, and other issues?

33. Do we have better schedule integrity with blocked vs. unblocked schedule segments? Surgeons? Service Lines? Facilities? Care Settings?

34. Is good (or poor) schedule integrity localized by: Specialty? Facility? Surgical team? Procedure complexity?

36. Improve scheduling accuracy and efficiency; identify and acknowledge top performers.

37. Improve allocation of surgical facilities to handle patient volumes.

38. Align incentives for on-time starts with access to preferred schedule time/room availability.

39. Identify disruptive scheduling practices or volatility, and assess downstream impact and consequences.

41. Business Intelligence – A Spectrum of Solutions Quality of Care Surgical Analytics Utilization & Cost Best Practice Alerts Embedded & Predictive Analytics Service Line Management Financial & Strategic Planning CRM / Marketing Enterprise / Subject Area Implementation Value & Impact to the Organization Enterprise / Subject Area Data Strategy Focused Data Mart or Pilot EDW Solution BI Analytics FastTrack Data Quality or Readiness Assessment Level of Data Integration

42. Business Intelligence Analytics FastTrack

43. Solution Details: High Level Architecture

45. Dimensions

46. Key Metrics

48. Dimensions

49. Key Metrics

50. Reference DataBusiness Focused Analytic Views Business Dimensions Dimensions Attributes Hierarchies Subject Area Based Groupings & Metrics Subject Areas Fact Groupings Key Metrics Data Integration Framework Extract Specs Base Mappings Integration Library

51. Solution Details – Benefits vs. Risks

52. Solution Details  A Working Analytics Solution … Focuses on … Not intended to be … Data analytics and data visualization capabilities to enable informed decisions Bulletproof production implementation  Some data “plumbing” is incomplete Subject area data is organized, integrated, and optimized to support analytics “Mock-up” or “Throw away”  All components can be built out for production, or manual execution Direct impact of the client’s own data to gain immediate and valuable insight on current issues and challenges Comprehensive across multiple complex subject areas

53. Why Edgewater?

54. Q & A Questions? Thank You!