使用决策树技术分析与国内患者安全事件相关的因素
Jieun Shin1, Ji-Hoon Lee1, Nam-Yi Kim2
1Department of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, Republic of Korea.
Risk management and healthcare policy
|August 14, 2023
概括
由于医疗相关感染 (HAI),患者安全事件在长期护理设施中最高. 布也显著增加了伤害,突出了医疗保健机构有针对性的预防策略的需要.
科学领域:
- 医疗保健的质量和安全.
- 医疗信息学医学信息学
- 风险管理 风险管理
背景情况:
- 患者安全事件对医疗保健质量构成重大威胁.
- 评估这些事件的范围和背景对于制定有效的预防策略至关重要.
- 识别高风险患者群体和情况对于最大限度地减少不良事件至关重要.
研究的目的:
- 分析患者安全事件数据,以确定高风险群体.
- 确定导致不良患者安全事件的情况和因素.
- 为制定有针对性的预防策略提供数据驱动的见解.
主要方法:
- 从"2021年患者安全报告数据"分析了8934起患者安全事件.
- 韩国卫生保健认证研究所的系统数据收集.
- 应用决策树分析 (千平方自动交互检测) 来识别风险因素.
主要成果:
- 长期护理机构的医疗保健相关感染 (HAI) 是最高的风险组.
- 脆弱性扩展到第三级,普通医院和诊所的HAI.
- 在各个医疗机构的神经精神病学部门的跌倒相关事件也表明高风险.
结论:
- 事故的类型 (HAI,跌倒) 和医疗机构类型是伤害严重程度的关键决定因素.
- 与医疗保健相关的感染和跌倒是影响患者安全结果的关键因素.
- 针对性干预,专注于HAI和防摔,对于减少医疗机构的伤害至关重要.
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