一种混合马尔科夫-SPC方法来评估紧急护理利用的成本差异,使用患者报告的炎症性肠病患者数据
Brant J Oliver1,2,3, Gil Y Melmed1,3,4,5,6, Corey A Siegel7
1Department of Community & Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
这项研究引入了一种新的方法,用于医疗保健中的实时成本估计,使用患者报告的结果 (PRO) 和高级分析. 开发的原型有助于评估成本差异,帮助质量改进计划.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 卫生经济学 卫生经济学
- 数据分析数据分析数据分析.
背景情况:
- 实时估计医疗保健成本对于质量改进具有挑战性.
- 患者报告的结果 (PRO) 为成本分析提供了有价值的数据来源.
- IBD Qorus学习健康系统 (LHS) 收集关键的PRO数据.
研究的目的:
- 开发和原型实时成本估计方法.
- 评估常规护理和改善举措之间的成本差异.
- 为了利用PRO数据,马尔科夫建模和统计过程控制 (SPC) 分析.
主要方法:
- 利用患者报告的结果 (PROs),包括急诊室的访问和住院.
- 采用马尔科夫建模来估计每名患者的年度成本差异.
- 应用统计过程控制 (SPC) 分析,用于实时可视化和监控成本估计.
主要成果:
- 开发了一个实时马尔科夫信息的SPC可视化原型.
- 原型分析和监测每月年化每患者的成本节约.
- 目前正在对索赔数据进行验证.
结论:
- 混合马尔科夫-SPC方法提供了近乎实时的成本差异估计.
- 这种方法可以加强改进,宣传和战略规划.
- 成功验证可以建立一个新的标准,用于医疗保健改进成本分析.
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