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首页> 外文期刊>Journal of medical systems >An efficiency-based multicriteria strategic planning model for ambulatory surgery centers.
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An efficiency-based multicriteria strategic planning model for ambulatory surgery centers.

机译：基于效率的门诊手术中心多标准战略规划模型。

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Ambulatory surgery centers (ASCs) provide a low-cost alternative to traditional inpatient care. In addition, with health care reform imminent, it is likely that many currently uninsured people will soon acquire health care coverage, significantly increasing the demand for health services. ASCs are among the providers that can expect to see a substantial amount of this new pent-up demand and, therefore, ASCs are likely to continue their current growth into the foreseeable future. Those ASCs that plan accordingly by optimizing procedure mix and volume will benefit most from the increased demand. We propose a two-stage efficiency-based multicriteria decision model to guide an ASC in identifying its optimal procedure mix. The first stage uses Data Envelopment Analysis (DEA) to calculate the efficiency of each procedure based on the resources required to perform the procedure, the revenue it generates, and its risk of complications. The second stage uses the DEA factor efficiency scores in a bottleneck program to optimize the mix of procedures while satisfying the ASC's resource and operational constraints. The criteria are to (1) maximize reimbursement while (2) minimizing the total number of complications. We demonstrate the approach using a data set based in part on data from an actual ASC.
机译：门诊手术中心（ASC）提供了传统住院治疗的低成本替代方案。此外，随着医疗改革的临近，许多目前没有保险的人可能很快就会获得医疗保险，从而大大增加了对医疗服务的需求。 ASC是可以期望看到大量新的被压抑需求的供应商之一，因此，ASC可能会在可预见的未来继续其当前的增长。通过优化程序组合和数量进行相应计划的那些ASC，将从不断增长的需求中受益最多。我们提出了一个基于效率的两阶段多准则决策模型，以指导ASC确定其最佳程序组合。第一阶段使用数据包络分析（DEA）根据执行过程所需的资源，产生的收入及其并发症风险来计算每个过程的效率。第二阶段使用瓶颈程序中的DEA因子效率得分来优化程序组合，同时满足ASC的资源和操作约束。标准是（1）报销最大化，而（2）减少并发症总数。我们使用部分基于实际ASC数据的数据集来演示该方法。

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