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Toward User-Centered Patient Safety Event Reporting System: A Trial of Text Prediction in Clinical Data Entry

机译：向用户居中的患者安全事件报告系统：临床数据进入中文本预测的试验

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As a primary source for learning from lessons, patient safety event reporting systems have been widely adopted. Nevertheless, underreporting and low quality of reports pervade the system. To address these issues, the study proposed two text prediction functions as data entry aids to system users. With 52 subjects, a two-group randomized experiment was conducted to quantify the impacts in terms of the reporting efficiency, quality, and usability attitudes. Consequentially, on structured data entry, the results were an overall 13.0% time reduction and 3.9% increase of response accuracy with the functions; on unstructured data entry, there was an overall 70.5% increase in the text generation rate, a 34.1% increase in the reporting completeness score, and a 14.5% reduction on the amount of text fields ignored by subjects. Subjects' usability attitudes were slightly improved with the proposed functions according to the questionnaire results.
机译：作为学习课程的主要来源，已被广泛采用患者安全事件报告系统。尽管如此，报告越来越低的报告遍及系统。为解决这些问题，该研究提出了两个文本预测函数作为数据输入辅助系统用户。对于52个受试者，进行了一个双组随机实验，以量化报告效率，质量和可用性态度方面的影响。因此，在结构化数据进入上，结果总体上减少了13.0％，响应准确性增加3.9％;在非结构化数据条目上，文本生成率的总体上涨70.5％，报告完整性得分增加34.1％，对受试者忽略的文本领域的金额减少了14.5％。根据调查问卷结果，拟议的职能略有改善受试者的可用性态度。

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