从框架到前线:将企业风险管理嵌入到应急部门的防摔
Yalcin Golcuk1, Ömer Faruk Karakoyun2
1Department of Emergency Medicine, Faculty of Medicine, Muğla Sıtkı Koçman University, Muğla, Turkey.
概括
这项研究建议将企业风险管理 (ERM) 整合到应急部门 (EDs) 预防跌倒. 使用可访问数据和机器学习的早期风险评估可以提高患者的安全性并降低成本.
科学领域:
- 医疗保健管理的管理
- 患者安全 患者安全
- 紧急医疗 紧急医疗
背景情况:
- 与跌倒相关的伤害在医疗机构中构成重大风险.
- 企业风险管理 (ERM) 的现有框架可以适应防摔.
- 紧急部门 (EDs) 在评估落风险方面提出了独特的挑战和机会.
研究的目的:
- 扩大ERM框架用于防摔,特别是应急部门的设置.
- 突出早期,个性化下跌风险评估在分拣的好处.
- 解决陷入或接近EDs的财务影响.
主要方法:
- 利用现有的患者数据可在分拣中获得 (例如,抗凝剂使用,认知障碍).
- 将高风险指标集成到机器学习工具中 (例如,罗斯曼指数,跌倒分类得分).
- 在动态ED环境中使用风险矩阵和热图来确定安全优先级.
主要成果:
- 在选时进行个性化跌倒风险评估在EDS中具有战略优势.
- 机器学习工具可以有效地利用可访问的数据来预测跌倒风险.
- 出于ED或附近的落可能会增加逗留时间,并产生不可退还的费用.
结论:
- 基于ERM的防摔策略是可扩展的,适用于动态的ED环境.
- 建议在1级创伤中心对这些ERM方法进行前性验证.
- 邀请合作,以测试框架在现实世界紧急环境中的有效性.
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