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Linking Federally Qualified Health Center EHR and TMSIS Implementing

Linking Federally Qualified Health Center EHR and Medicaid Data for Increased Data Capacity to Understand Maternal Health Care
  • Centers for Disease Control and Prevention (CDC)
  • Office of the Assistant Secretary for Planning and Evaluation (ASPE)
Start Date
  • 03/01/23
  • Use of Clinical Data for Research
  • Linking Clinical and Other Data for Research
  • Standardized Collection of Standardized Clinical Data
  • Use of Publicly-Funded Data Systems for Research


STATUS: Active Project


This proposed project will develop and evaluate the linkage of CY2021 National Ambulatory Medical Care Survey (NAMCS) and EHR data from federally qualified health centers (FQHCs) with the Centers for Medicare & Medicaid Services (CMS) Transformed Medicaid Statistical Information System (T-MSIS) administrative data.

NCHS, with its extensive expertise in database design, data linkage, and statistical analyses; the Health Resources and Services Administration (HRSA), with its subject matter expertise on FQHCs, the implementation of health IT at these centers, and understanding of the unique challenges of the hard-to-reach populations who receive care at these safety net settings of care; and the Centers for Medicare & Medicaid Services (CMS), with its subject matter and policy expertise on Medicaid and administrative claims data to collaboratively improve data capacity on PCOR on maternal health care provided at FQHCs for those with Medicaid.

The data file resulting from the work proposed in this project, as well as the developmental data linkage work, will enhance researchers’ ability to analyze data on maternal health care provided at these health centers – particularly for those with Medicaid as the primary source of payment – and subsequently gain insight into the relationships among patient characteristics, health care services utilization, and outcomes for these maternal health visits.


The purpose of this project is to address the following objectives: