This is a presentation that Jason Oliveira, Principal with KSA, presented at the GE Business Intelligence Summitt in Boston, August 2007. It discusses the "What Next" for maturing healthcare BI programs.

1. GE Healthcare Summit Jason Oliveira, MBA Principal Kurt Salmon Associates August 26, 2007

6. Got BI? Siemens Invision Lawson Patient Management / Patient Accounting Enterprise Resources / Administrative Clinical / Ancillary GE / ORMIS IDX PM Siemens Soarian Cerner PharmNet GE EMR Kronos WebCIS Proteomic Gentiva Home Health Data Capture Canopy GEAC HR / Payroll Charge Capture Siemens DSS Faculty Practice Data Mart(s) Eclipsys / TSI DSS Supply Chain DM HR Analytics UHC CDB P&A Analytical Application Surgery Revenue Cycle Strategic Planning Diabetes Cancer Public Health ORYX Measures Pediatrics Genomics

10. The Performance Measurement Movement Consumerism Transparency P4P Patient Safety Quality Improvement DEVISING STRATEGY BI FOUNDATION MANAGING STRATEGY Sharing Learning Innovation Disease Management Quality Management Operational Efficiency Revenue Enhancement High Performing Organization

11. How can BI Help? Independent of the perceived value of these performance measurement systems as drivers of desirable change, the reality is that they are here; they affect the bottom line; and they are now an operational reality, and burden, to provider organizations.

12. Performance Management Infrastructure MEASURE & MONITOR KPI, Dashboards, Benchmarks, Reporting EVALUATE Six Sigma, Root Cause Analysis, Fishbone IMPROVE PROCESSES Simplify, Align, Interconnect, Standardize, Stabilize, Train Data Management Methodology Decision Support Skilled People

13. This is BI Data Management Methodology Decision Support Skilled People

14. Performance Methodologies Cross-Tab Label

17. This is BI Data Management Methodology Decision Support Skilled People

19. Data Management – Today’s Reality Health Data Model Health Data Model Medical Vocabulary Medical Vocabulary Identifiers Identifiers Medical Knowledge Medical Knowledge Clinical Operations Performance Measures Significant data barriers remain in achieving insight into clinical processes.

21. This is BI Data Management Methodology Decision Support Skilled People

23. Decision Support – Future State Corporate Data Warehouse(s) ERP CIS PM Excel HR Performance Measures, Scorecards, Reports, Analyses, Alerts Goals & Objectives Peer Benchmarks Targets Planning Cycle Management Financial Consolidation Compliance Reporting Revenue Cycle Financial Management Research Clinical Management Revenue Modeling Revenue Cycle Contract Management Price Modeling Cost Accounting Budgeting Forecasting Product Line Management Data Management Foundation Planning Monitoring Taking Action EMR. G/L

24. This is BI Data Management Methodology Decision Support Skilled People

25. Skilled People – Today’s Reality Finance Decision Support Budgeting, Cost Accounting, P&L, Business Planning, Revenue Modeling Research Centers Cancer, Cardiology, CF, Diabetes, et al. Health Information Management (HIM) Abstracting, Billing Abstracting, Case Finding Information Services Data Integration Ad-Hoc Reporting, CIS /CDR queries Nursing Key Statistics, Nursing Informatics Medical Informatics Service Line Initiatives, Clinical analysis ? Knowledge workers typically must navigate a complex organization of support resources to gain access to information and analytical support. Is this optimal? Performance Improvement / Safety Public Reporting, Performance Measures, Patient Satisfaction, Custom DBs, Data Consolidation BioInformatics Genomix, Proteomcs, research data analysis Pharmacy Pharmacy informatics, costs, inventory User User User User User Physician Associates Faculty Plan Productivity, Revenue Analysis, PI Studies

27. Thank You!

28. Jason Oliveira 212.508.8311 [email_address]