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Chris Cox

Pronouns: She/Her

Chris is focused on increasing data utility and access through data linkage and disclosure prevention technologies.

Chris is a senior fellow in the Health Care Programs department at NORC at the University of Chicago. After a 35 year federal career focused on increasing data utility and access to drive health system transformation and improve health outcomes, Chris joined NORC, bringing her broad expertise and knowledge of data analysis and integration across federal and state health data systems.

During her tenure in the federal sector, Chris served as the Chief Data Officer for the Centers for Medicare and Medicaid Services, leading efforts to increase transparency into CMS programs through improved data access and dissemination activities. During her lengthy tenure at the National Center for Health Statistics, she directed the NCHS Data Linkage Program, leading projects designed to integrate federal and state data resources with national survey data to enable innovative analysis of public health and health care systems.

She had both directed and published research on methodologic issues in data linkage, statistical re-identification avoidance strategies, and creation of privacy protected public use data files. During her tenure as Senior Fellow at NORC she has provided expertise to multiple data linkage projects including linkages of national population and health care provider surveys with Medicare, Medicaid, death certificates, U.S. Department of Housing and Urban Development federal housing program participation, and U.S. Department of Veteran’s Affairs data on veteran’s military history and benefit utilization. She has also provided expert advisory services on data disclosure practices to the NCHS and the Social Security Administration (SSA) Data Disclosure Review Boards, the National Death Index and SSA Epidemiologic Verification Service Advisory Boards.



University of Maryland

Honors & Awards

Centers for Disease Control and Prevention Statistical Science Award | 2022

Best Theoretical Paper: “Using synthetic data to replace linkage derived elements: a case study” published in Health Services and Outcomes Research Methodology

Project Contributions

Linking National Hospital Care Survey and CMS Data

Evaluating privacy-preserving linkage techniques and other support


National Center for Health Statistics

National Hospital Care Survey Data Linkages

Linking NHCS data to National Death Index and CMS Master Beneficiary Records


National Center for Health Statistics (NCHS)