Policy History : Medical Errors

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Policy History
Medical errors in the United States has been an intense topic of interest for politicians, researchers, and the general public alike for a number of years now. Concern about medical errors grew in the US following the release of “To ERR is Human: Building a safer Health System” report issued by the Institute of Medicine (IOM). This apprehension most noticeably started during the Clinton administration; IOM released their groundbreaking report in 1999 during the Clinton administration. Results shed light on the reality of diagnostic errors and raised awareness to the public. The alarm created by IOM catapulted the matter to President Bill Clinton. According to Janet Brooks (2009) (a Canadian journalist who has completed
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Following the 1999 IOM report the US government was forced to respond to the reported statistics and the growing demand for political action. This lead to the creation of the Quality Interagency Coordination Task Force (QuIC) on December 7, 2000 directed by President Clinton. The main purpose was to address the concerns of the country with medical errors and patient safety (Wahls et al., 2002). This task force used 12 federal agencies to regulate health services and ensure that bureaus involved in purchasing, providing, researching, or regulating health care service were working in unison to improve the problem of care (Schulman et al., 2000). From this task force came a series of proposed measures that would be the starting point of correcting the growing problem of medical errors. First, the QuIC determined that an error-reporting system should be standard in all 50 states. All members of the QuIC agreed is necessary to improve quality in health care delivery. Second, the QuIC recommended that reporting requirements be expanded to blood banks and other companies that work with blood. Next, they determined that there should be a set of safety measures for patients. This would identify known medical errors and best practice for health care organizations that could help avoid identified and
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