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CRMS & PREDICTIVE MODELING AT BCBSLA Blue Cross Blue Shield of Louisiana Felix J. Bradbury, RN, MHA, ScD*, CHE Director, Medical Management & Reporting Department September, 2003
AGENDA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is a Predictive Model? A software application which generates a prospective index of risk and a probability of admission from a combination of medical, pharmacy and laboratory claims data.  This data allows us to compare the expected future health status of an individual member, or the aggregate health status of a group, product or LOB.
What is a Predictive Model, Cont’d Two Important Definitions ,[object Object],[object Object],[object Object],[object Object]
Introduction and Overview Forces driving strategic change in the health insurance industry
OVERVIEW:  Why Do We have a Predictive Model? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why Do we Have  Predictive Model, Cont’d Overview of Member Risk Stratification
 
BCBSLA Healthplan Facts (Enrollment data current through June 2003) |  Product LOB | BCBSLA PO  BCBSLA PP  BCBSLA Tr  HMOLA HMO  HMOLA POS |  Total ----------------------+-------------------------------------------------------+---------- ASO  |  33,936  30,229  2,496  2,641  4,886 |  74,188 Association  |  15  46,221  125  1,538  3,566 |  51,465 Community  |  1,251  54,496  656  7,690  14,499 |  78,592 Cost Plus  |  0  2,633  573  2,076  625 |  5,907 FEP  |  4  36,336  0  0  0 |  36,340 Individual Ble Value  |  0  20,787  4,840  0  0 |  25,627 Individual Blue Max  |  1  84,383  11,640  0  0 |  96,024 Individual Conversion |  0  0  130  0  0 |  130 Individual Regular  |  0  0  210  18,068  10,645 |  28,923 Individual Value Plus |  0  0  226  0  0 |  226 Merit Rated  |  7,096  32,139  11  14,957  6,729 |  60,932 Met  |  746  59,044  1,128  5,300  18,706 |  84,924 National Control ASO  |  0  5,352  3,708  0  0 |  9,060 National Control Insu |  0  0  39  0  0 |  39 Rate Stabilization  |  1,078  7,316  305  0  0 |  8,699 ----------------------+-------------------------------------------------------+---------- Total |  44,127  378,936  26,087  52,270  59,656 |  561,076 ,[object Object],[object Object],[object Object]
How is Predictive Modeling Used to Support Our Care Management Initiatives? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Predictive Model Implementation Issues ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation Issue 1:  Differences in Expectations of Clinical and Technical Staff ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation Issue 2:  Difficulty Determining the Ideal Volume of Members to Manage ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation Issue 3: Impersonal Technology ,[object Object],[object Object],[object Object]
Implementation Issue 4: Lack of Confidence in Predictions ,[object Object],[object Object],[object Object]
Implementation Issue 5: Impatience with the Predictive Modeling Process ,[object Object]
Implementation Issue 6: Questions About How Care Management ROI will be Measured ,[object Object],[object Object],[object Object],[object Object]
Determining the Optimal Predictive Model Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Determining the Optimal Predictive Model Algorithm, Cont’d ,[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]
Approaches and Examples of Referral Algorithms ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example of Employer Group Disease-Specific Approach
 
 
 
 
Example of the Low-to-High and Moderate-to-High Cost Transition Approach This slide is an example of the list of high-risk members referred to case management on a monthly basis .
The BCBSLA Predictive Model Referral Schema, June 2003
Predictive Model Referral Schema, Cont’d
Using CRMS Fundamentals to Improve Reliability and Validity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Using CRMS to Enhance the Referral Process ,[object Object],[object Object],[object Object],[object Object]
Using CRMS to Enhance the Referral Process, Cont’d ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Question and Answer Session

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Mckesson payor conf implementing a pred. model

  • 1. CRMS & PREDICTIVE MODELING AT BCBSLA Blue Cross Blue Shield of Louisiana Felix J. Bradbury, RN, MHA, ScD*, CHE Director, Medical Management & Reporting Department September, 2003
  • 2.
  • 3. What is a Predictive Model? A software application which generates a prospective index of risk and a probability of admission from a combination of medical, pharmacy and laboratory claims data. This data allows us to compare the expected future health status of an individual member, or the aggregate health status of a group, product or LOB.
  • 4.
  • 5. Introduction and Overview Forces driving strategic change in the health insurance industry
  • 6.
  • 7. Why Do we Have Predictive Model, Cont’d Overview of Member Risk Stratification
  • 8.  
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21. Example of Employer Group Disease-Specific Approach
  • 22.  
  • 23.  
  • 24.  
  • 25.  
  • 26. Example of the Low-to-High and Moderate-to-High Cost Transition Approach This slide is an example of the list of high-risk members referred to case management on a monthly basis .
  • 27. The BCBSLA Predictive Model Referral Schema, June 2003
  • 28. Predictive Model Referral Schema, Cont’d
  • 29.
  • 30.
  • 31.