对中国护理电子医疗记录进行分析,以利用文本挖掘和机器学习技术预测精神病医院住院患者的暴力行为
Ya-Han Hu1,2, Jeng-Hsiu Hung3,4, Li-Yu Hu5,6
1Department of Information Management, National Central University, Taoyuan City, Taiwan.
PloS one
|June 7, 2023
概括
预测精神病房中的暴力行为至关重要. 这项研究发现暴力率为19.7%,并使用电子医疗记录开发了一个模型,用于早期风险识别.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 在医疗保健中的数据科学.
- 临床风险预测预测
背景情况:
- 在急性精神病房的暴力是一个重大问题,影响患者和工作人员,并导致高流动.
- 以前的研究估计住院暴力率约为17%,强调需要更好的预测措施.
- 准确预测暴力事件对患者安全和医疗保健管理具有临床意义.
结论:
- 开发的模型证明了早期预测住院暴力的潜力.
- 这些发现为临床医生提供了一种新的工具,用于评估精神病医院中的暴力风险.
- 将其纳入常规临床实践可以提高患者的安全性,改善病房管理.
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