为医疗保健服务中的捆绑付款选择医疗保健提供商

Seokjun Youn, A. Agrawal, Subodha Kumar, C. Sriskandarajah
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引用次数: 1

摘要

识别有竞争力的医疗保健提供者是捆绑付款报销计划成功运作的一个重要问题。我们通过数据包络分析(DEA)和组合拍卖(CA)开发了一个医疗保健提供者选择框架。我们的目标是覆盖有足够数量的医疗保健提供者的目标地区,以便在这些地区最佳地部署捆绑支付计划。我们的方法平衡投标价格和申请人的表现,以公平的方式覆盖整个地区,允许提供商在选择服务包时选择偏好,并根据服务质量、效率和捆绑包的价格确定获胜者。与现有的主观选择方法相比,我们的工作为支付方提供了一种实用而系统的选择程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selecting Healthcare Providers for Bundled Payments in Healthcare Services
Identification of competitive healthcare providers is an important issue for successful operation of a bundled payment reimbursement program. We develop a healthcare provider selection framework via data envelopment analysis (DEA) and combinatorial auction (CA). Our goal is to cover target regions with adequate numbers of healthcare providers so as to optimally deploy a bundled payment program across these regions. Our methodology balances bid prices and performance of applicants to cover the entire regions in an equitable manner, allows for provider preferences in selecting the bundle of services, and determines winners taking into account service quality, efficiency and the price of the bundles. Our work provides a practical and systematic selection procedure for payers compared to the extant subjective selection methods.
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