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www.edgewater.com October 1, 2008 Predictive Analytics in Healthcare
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Predictive Analytics: Overview
Predictive Analytics: Various Approaches CLUSTERING FORECASTING MONITORING & ADVISING SIMULATION &  SCENARIO PLANNING DECISION TREE    The use of current and past data, in conjunction with statistical, structural or other analytical models and methods, to determine the likelihood of certain future events Predictive methods cover the spectrum from relatively simple classification and forecasting to more advanced techniques such as simulation and advising As you move up the spectrum, the complexity of the approaches and their implementation increase
Clustering as Classification ,[object Object],[object Object],[object Object],[object Object],Yeatman, et al: JNCI, April 2002 Osteopontin
Class Discovery and Class Prediction Golub, et al: SCIENCE, October 1999 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Class Distinction, Combined with Pathway Model Wei, et al: Cancer Cell, October 2006 GC apoptosis (cell death) rapamycin MCL1
Decision Tree: Progressive Class Distinction ,[object Object],[object Object],[object Object]
Forecasting:  Process Model      Structural Model:   Bill of Resources Patient Seen in Emergency Dept Admit Patient: Presumptive Diagnosis: Pneumonia Discharge Monitor Care Delivery Standard Order Sets Equipment Labor Materials Facilities Nursing Orders: Respiratory Therapy: Medication Orders: Resource Demand Day 5 Day 4 Day 3 Day 2 Day 1    
Forecasting: Resource Demand vs. Capacity Standard Order Sets Equipment Labor Materials Facilities Nursing Orders: Respiratory Therapy: Medication Orders: Day 5 Day 4 Day 3 Day 2 Day 1    
Simulation: Resource Demand vs. Capacity    What if … …  incidence of disease X increases 2x? …  process X increases throughput 1.5x? …  market share in geography X (with Y / 1000 cases) increases by Z? …  we focus our service lines into centers of excellence, shifting our patient mix across our facilities within the system? Facility A Facility B Facility C
Monitoring & Advising: Risk Management Patient & Case Profiled Against Risk Model Incrementally Accumulate Evidence of Emerging Risk Retain Case Instance &  Feedback to Risk Model Notify Risk Mgmt Team of Need for Corrective Action Monitor Care Delivery Isolate Root Causes Track Negative Outcomes Track Key Events Within a Process Track Incidents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Forecast Non- Reimbursement Loss Tie to Claims Data Tie to Clinical Data Track Litigation Improve Quality, Avoid Future Incidents
Implementation: System & Data Architecture Clinical Data Operations Data Financial Data External Data Data Warehouse Data Files Data Sets Parameter Management DATA PRESENTATION/ CONSUMPITON LAYER APPLICATION/ MODEL MANAGEMENT LAYER DATA STORAGE LAYER DATA INTEGRATION LAYER DATA  SOURCE  LAYER ODS Multi-Dimensional Data Store Integration Cleansing Data Quality Formatting Aggregation Predictive Models Test Management Model/Version Management
Process Framework KPI Definition  & Decomposition  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Prototyping and Refinement ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Establish Architecture Iterative Prototyping & Validation Release to  Production Maintain, Improve, Expand ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Extending Visibility Into The Enterprise Executive User Functional User Power User Highly Aggregated More Detail Complete Raw Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
www.edgewater.com October 1, 2008 Predictive Analytics in Healthcare

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Predictive Analytics in Healthcare

  • 1. www.edgewater.com October 1, 2008 Predictive Analytics in Healthcare
  • 2.
  • 3. Predictive Analytics: Various Approaches CLUSTERING FORECASTING MONITORING & ADVISING SIMULATION & SCENARIO PLANNING DECISION TREE  The use of current and past data, in conjunction with statistical, structural or other analytical models and methods, to determine the likelihood of certain future events Predictive methods cover the spectrum from relatively simple classification and forecasting to more advanced techniques such as simulation and advising As you move up the spectrum, the complexity of the approaches and their implementation increase
  • 4.
  • 5.
  • 6. Class Distinction, Combined with Pathway Model Wei, et al: Cancer Cell, October 2006 GC apoptosis (cell death) rapamycin MCL1
  • 7.
  • 8. Forecasting: Process Model  Structural Model: Bill of Resources Patient Seen in Emergency Dept Admit Patient: Presumptive Diagnosis: Pneumonia Discharge Monitor Care Delivery Standard Order Sets Equipment Labor Materials Facilities Nursing Orders: Respiratory Therapy: Medication Orders: Resource Demand Day 5 Day 4 Day 3 Day 2 Day 1    
  • 9. Forecasting: Resource Demand vs. Capacity Standard Order Sets Equipment Labor Materials Facilities Nursing Orders: Respiratory Therapy: Medication Orders: Day 5 Day 4 Day 3 Day 2 Day 1    
  • 10. Simulation: Resource Demand vs. Capacity  What if … … incidence of disease X increases 2x? … process X increases throughput 1.5x? … market share in geography X (with Y / 1000 cases) increases by Z? … we focus our service lines into centers of excellence, shifting our patient mix across our facilities within the system? Facility A Facility B Facility C
  • 11.
  • 12. Implementation: System & Data Architecture Clinical Data Operations Data Financial Data External Data Data Warehouse Data Files Data Sets Parameter Management DATA PRESENTATION/ CONSUMPITON LAYER APPLICATION/ MODEL MANAGEMENT LAYER DATA STORAGE LAYER DATA INTEGRATION LAYER DATA SOURCE LAYER ODS Multi-Dimensional Data Store Integration Cleansing Data Quality Formatting Aggregation Predictive Models Test Management Model/Version Management
  • 13.
  • 14.
  • 15. www.edgewater.com October 1, 2008 Predictive Analytics in Healthcare