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
opens in new tabA Methodological Assessment of Privacy Preserving Record Linkage using Survey and Administrative Data.
Journal Article | June 7, 2022
opens in new tab“Using Supervised Machine Learning to Identify Efficient Blocking Schemes for Record Linkage.”
Journal Article | August 4, 2021
Project Report | March 26, 2021
Journal Article | March 26, 2021
opens in new tab"Comparative Analysis of the National Health Interview Survey Public-Use and Restricted-Use Linked Mortality Files."
Project Report | June 2, 2020
Project Report | June 11, 2019
Press Release | January 2, 2018
opens in new tab"Nutritional Interventions in Primary Mitochondrial Disorders: Developing an Evidence Base."
Journal Article | November 20, 2016