Improved Detection of Infections Following Surgery for Meaningful Public Reporting

该奖学金旨在i）建立一种有效和简化的方法来识别手术后患者的感染，ii）开发一种公开报告这些信息的流程。预计这种方法将需要更少的资源，并产生更可靠，准确和有意义的数据。通过这样做，包括消费者在内的利益相关者将拥有更有意义的感染数据，医院可以将宝贵的资源用于预防感染，而不是收集数据

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