Menu
2004 Special Session I

Budget Amendments - SB5001 (Committee Approved)

View Budget Item
View Budget Item amendments

Managed Care Analysis Unit

Item 322 #2s

Item 322 #2s

First Year - FY2005 Second Year - FY2006
Health And Human Resources
Medical Assistance Services, Department of FY2005 $300,000 FY2006 $200,000 GF
FY2005 $300,000 FY2006 $200,000 NGF
FY2005 2.00 FY2006 2.00 FTE

Language
Page 246, line 25, strike "$75,013,771" and insert "$75,613,771".
Page 246, line 25, strike "$75,013,728" and insert "$75,413,728".
Page 248, after line 17, insert:
"G.  Included in this appropriation is $300,000 from the general fund and $300,000 from nongeneral funds in the first year and $200,000 from the general fund and $200,000 from nongeneral funds in the second year for the Department of Medical Assistance Services (DMAS) to complete a baseline encounter data validation study to assess the accuracy, completeness, and quality of encounter data from contracted Medicaid/FAMIS managed care plans and from the DMAS Medicaid Management Information System.  The study objectives include: an assessment of encounter data used for managed care plan rate-setting and risk-adjustment, the development of necessary revisions to the recently implemented DMAS Medicaid Management Information System, and feedback to the health plans in the form of Data Quality Improvement Plans."


Explanation
(This amendment provides $300,000 GF and $300,000 NGF in FY 2005 and $200,000 GF and $200,000 NGF in FY 2006 to hire a consultant to assess the compatibility of the department's information system and the encounter data collected by Medicaid managed care organizations to determine what system changes are necessary to permit the collection, transmission, and analysis of data on encounter claims. Funding will also be used to hire two positions to bolster the department's ability to provide oversight for Medicaid managed care expenditures. The need for additional analytical capacity at the department is critical as Medicaid spending has transitioned from fee for service claims data to a capitation-based approach to providing health care services.)