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Invited editorial| Volume 142, ISSUE 3, P420-421, September 2007

Comparison of data extraction from standardized versus traditional narrative operative reports for database related research and quality control

      Just as there are trends in fashion, food, cars and entertainment, such that what is “in” today may be “out” tomorrow, so there are hot topics in surgery. Currently, quality improvement is a hot topic in surgery. The educators call it “practice-based learning”; the clinical epidemiologists call it “evidence-based medicine”; the health service researchers call it “knowledge transfer” and the quality assurance people call it “continuous quality improvement” but in essence it is the same: the goal is to provide the highest quality of care to the individual patient. Furthermore, the fundamental components are the same: provide care to patients based on the best current evidence; collect data on relevant outcomes; evaluate performance; provide feedback and implement changes in response to the audit. All of these components are multifaceted and each has important issues that need to be identified and dealt with. This is true for the collection of data where the issues include: are the data reliable? Are the data valid? How can the data be collected as close to real time as possible and without incurring huge costs? Is it possible to risk adjust the data?
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