数据和手术偏好卡的艺术 维护数据和手术偏好卡的艺术
Sean Perez1, Adir Mancebo2, Patricia Lopez2
1Department of Surgery, University of California, San Diego.
JAMA surgery
|November 26, 2025
概括
通过使用历史数据优化手术偏好卡,大大减少了手术供应浪费和成本. 按程序分层现有卡片提供了最大的成本节省和减少浪费.
科学领域:
- 医疗保健运营研究 医疗保健运营研究
- 手术供应链管理手术供应链管理
- 提高外科手术的质量.
背景情况:
- 手术偏好卡通常会导致大量的供应浪费,因为外科医生要求的变化.
- 未使用的外科用品在医疗保健中占据了重要的和可预防的成本.
研究的目的:
- 通过分析历史供应使用数据来优化手术偏好卡.
- 量化通过优化偏好卡可以实现的潜在成本节约和废物减少.
主要方法:
- 在历史手术收件数据 (2019-2023) 上使用了线性时间序列回归模型.
- 开发了手术偏好卡的三个不同的优化策略.
- 计算基线和优化浪费,比较不同优化级别的成本.
主要成果:
- 这项研究分析了1298张偏好卡,涉及432项手术.
- 当前优惠卡的结果是,平均每件未使用的物品平均为1294.41美元,每年总计超过370万美元.
- 所有优化方法都减少了浪费;通过程序对现有卡片进行分层产生了最大的节省,特别是在结直肠外科手术中 (55.8%的减少).
结论:
- 手术偏好卡的基于回归的优化有效地减少了浪费和相关成本.
- 通过手术程序对现有的偏好卡进行分层,为节省成本和减少浪费提供了最显著的潜力.
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