February 24, 2014
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USRDS contract awarded to UM Kidney Epidemiology and Cost Center

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The University of Michigan Kidney Epidemiology and Cost Center (UM-KECC) has been awarded a five-year, $8.5 million federal contract to serve as the coordinating center for the United States Renal Data System (USRDS). Arbor Research Collaborative for Health will be a subcontractor in the coordinating effort. Arbor Research's effort will include data analysis, data management, and applications development expertise to enhance web-based reporting of data.

The contract began on Feb. 8, 2014. Minneapolis Medical Research Foundation previously held the contract. UM-KECC was involved an earlier phase of USRDS from 1988-1999.

(The CMO Initiative: Improving the continuity of care for dialysis patients)

The USRDS project includes a multidisciplinary team of 21 investigators from the UM Medical School, School of Public Health, Institute for Healthcare Policy and Innovation, Frankel Cardiovascular Center and School of Pharmacy, as well as subcontractors from Arbor Research Collaborative for Health and the University of California-Irvine. 

University of Michigan kidney specialist Dr. Rajiv Saran will lead the project. Yi Li, PhD, professor of biostatistics at the School of Public Health, and Bruce Robinson, MD, vice president of clinical research at Arbor Research Collaborative for Health, are co-deputy directors on the project.

Arbor Research's role in the project will include data analysis, data management, and applications development expertise to enhance web-based reporting of data.

About the USRDS
The USRDS is a national data system that collects, analyzes and distributes information about patients with chronic kidney disease and end-stage renal disease. The coordinating center, in collaboration with the National Institutes of Health and the Centers for Medicare & Medicaid Services, provides clinical, biostatistical, epidemiological, data management and analytical expertise necessary to maintain and update the existing USRDS database.