Improved Detection of Infections Following Surgery for Meaningful Public Reporting

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This fellowship aims to i) establish an efficient and simplified method to identify infections in patients following surgery and ii) develop a process for this information to be reported publicly.It is expected that this method will require fewer resources and result in more robust, accurate and meaningful data. By doing so, stakeholders, including consumers will have more meaningful infection data, and hospitals can target valuable resources on preventing infections rather than collecting data