OCFO : BEA : Data Quality & Functional Proponency (DQ&FP)
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DQ & FP WISDOM Unified Biostatistical Utility (UBU) Functional Specifications

Data Quality & Functional Proponency (DQ&FP)

Mission Statement:

The Data Quality & Functional Proponency (DQ&FP) division functions as a data quality program manager and is responsible for continuously reviewing and evaluating results achieved by numerous data quality programs in the Department of Defense (DoD). This directorate is also responsible for the development and evaluation of TMA and DoD data quality plans and program goals. As needed, the directorate recommends changes to insure the program is executed in accordance with established objectives and law. The DQ&FP is responsible for planning and conducting statistical analyses and studies concerning the trends and impact of changes in purchased health care data. DQ&FP is responsible for planning and implementing the retrieval, reporting, monitoring and analysis of comprehensive vital TMA program information, as well as forecasting health care utilization and expenditure at various demographic levels which is then reported to TMA management and other external agencies.

The primary functions of DQ&FP include:

  • Develop and review data quality plans
  • Establish data quality parameters for purchased care
  • Support the bid price adjustment process through the development of both summary and detail cost and workloads
  • Provide historical eligibility/enrollment data, as well as direct care and purchased care for critical baseline periods
  • Analyze purchased health care data and program statistics
  • Maintain of system directories (CAD, STSF, BIFCA, etc)
  • Administer health system updates (DRG, DX, HCPC, CPT-4)
  • Provide statistical support and guidance for TMA components
  • Develop and maintain information retrieval systems
  • Support and define the involvement process of MHS data quality and integration
  • Develop a compliance strategy for the MHS data quality plan requirements
  • Assist with DoD integration aspects of data quality - data standardization and the merging of direct and purchased care
  • Serve as a functional proponent for essential healthcare reporting systems (CMIS, CURES, etc) and purchased care reporting from the CEIS enterprise data warehouse
  • Develop estimates for forecasting completeness of purchased care
  • Develop publications (TRICARE Chartbook of Statistics, User's Guides, Focused Analyses, etc.)

Reports
Coming soon.

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