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World's Largest Medication Error Database Formed

By HospiMedica staff writers
Posted on 20 Dec 2007
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The largest medication error database in the world draws information from more than 400 hospitals and healthcare systems in the United States to help in the identification and prevention of medication errors and adverse drug events.

The MEDMARX U.S. national adverse drug event reporting database was formed by a strategic alliance between the U.S. Pharmacopeia (USP, Rockville, MD, USA) and Quantros (Milpitas, CA, USA), a health care information management technology provider. Under the arrangement, Quantros will manage the operations of the MEDMARX system, including marketing, sales, and client support. This will enable USP to continue its focus on data analysis, research, standards setting, and dissemination of safe practices that will help practitioners prevent errors.

"Quantros' and USP's patient safety efforts are complementary,” said Roger L. Williams, M.D., executive vice president and CEO of USP. "The two organizations share a commitment to reducing medication errors and improving public health. This partnership will provide customers with the best of each organization's strengths--clinical technology management from Quantros, and data analysis, research, standards-setting and reporting from USP.”

"We look forward to providing MEDMARX subscribers with an even more robust database that can reveal to health care providers additional valuable patient safety information,” said Sanjaya Kumar, M.D., president and CEO of Quantros.

MEDMARX is an internet-accessible database that hospitals and health care systems use to track and trend adverse drug reactions and medication errors. Hospitals and health care systems participate in MEDMARX voluntarily and subscribe to it on an annual basis. MEDMARX subscribers can access data from more than 1.1 million adverse drug event records that follow standardized definitions. This allows easy and insightful comparisons to data and solutions from other similar organizations, trend analyses, and the development of best practices to prevent adverse drug events.


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