Background: Electronic surveillance using clinical and administrative data from multiple sources has been reported as a tool for surveillance of surgical site infections (SSIs), but experiences are limited. In this study, we aimed to assess the accuracy of a text-searching algorithm to detect SSIs in children based on the application of regular expressions of unstructured clinical notes collected through different information systems.

中文翻译：

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基于医院非结构化临床笔记和文本挖掘开发手术部位感染监测系统。

背景：据报道，使用来自多个来源的临床和管理数据的电子监测是一种监测手术部位感染 (SSI) 的工具，但经验有限。在本研究中，我们旨在评估文本搜索算法检测儿童 SSI 的准确性，该算法基于应用通过不同信息系统收集的非结构化临床记录的正则表达式。