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                Data Mining

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          Data Mining at the Center for Devices and Radiological HealthData Mining Data Mining at the Center for Devices and Radiological Health
  
  	
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    PrintEach year, the FDA receives several hundred thousand medical device reports (MDRs) of suspected device-associated deaths, serious injuries and malfunctions. The FDA uses MDRs to monitor device performance, detect potential device-related safety issues, and contribute to benefit-risk assessments of these products. The Manufacturer and User Facility Device Experience Database (MAUDE) houses medical device reports submitted to the FDA by mandatory reporters (manufacturers, importers and device user facilities) and voluntary reporters such as health care professionals, patients and consumers. MAUDE contains both domestic and international reports. Although MDRs are a valuable source of information, this passive surveillance system has limitations, including the potential submission of incomplete, inaccurate, untimely, unverified, or biased data. In addition, the incidence or prevalence of an event cannot be determined from this reporting system alone due to potential under-reporting of events and lack of information about frequency of device use. Because of this, MDRs comprise only one of the FDA's several important postmarket surveillance data sources. Members of the scientific community can use openFDA to access adverse event reports (4.4 million records since 1991): https://www.fda.gov/scienceresearch/healthinformatics/ucm474571.htm

                                                                                  Content current as of:
      03/27/2018Data Mining
 
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