一个用户可定制的混合框架,用于有针对性的医学决策.
M Gabriela Sava1, Luis G Vargas2, Jerrold H May2
1Allen W. and Carol M. Schmidthorst College of Business, Bowling Green State University, Bowling Green, OH, 43403, USA.
概括
这项研究引入了针对性医疗决策的可定制框架,平衡提供者时间和预测准确度. 它根据患者的偏好对患者进行分组,以优化医疗保健中的资源配置.
科学领域:
- 医疗信息学 医疗信息学
- 决策分析 决策分析
- 医学经济学 医学经济学
背景情况:
- 患者的异质性需要有针对性的医疗决策.
- 纳入患者偏好对于有效的医疗保健策略至关重要.
- 当前的方法在建模个体患者偏好时可能会耗时.
研究的目的:
- 为有针对性的医疗决策提出一个用户可定制的混合框架.
- 通过组定制来平衡减少供应商时间和预测准确性之间的权衡.
- 将框架应用于结直肠癌查,以优化资源配置.
主要方法:
- 一个混合框架,结合了描述和预测过程.
- 描述性过程:根据基于偏好的主观特征将患者分组.
- 预测过程:使用客观特征将新患者与组匹配.
主要成果:
- 该框架在调整组定制水平方面提供了灵活性.
- 对结直肠癌查决策的证明应用.
- 提供商可以根据可接受的错误水平选择所需的权衡.
结论:
- 拟议的框架允许在医疗保健中有效地分配资源.
- 群体定制可以缩短建模患者偏好的过程.
- 该框架可以适应各种医疗决策和提供者-用户场景.
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