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Configuring surgical instrument trays to reduce costs

机译:配置手术器械托盘以降低成本

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Most hospitals in the United States provide and manage significant inventories of durable surgical instruments used in operating rooms. The sheer volume and variety of instruments introduces considerable complexity in ensuring that the right instruments are available at the right time. Surgical instruments are usually stored and delivered to an operating room (OR) as procedure-specific sets of trays with multiple instruments included in a single tray. Because procedure trays are used by multiple surgeons trained at different institutions, procedure trays often include surgeon-specific instruments. Hospital materials managers and surgeons appear to weigh differently the various attributes of different tray configurations. Materials managers want to limit the cost of inventory and the variety of trays. Surgeons, on the other hand, prefer trays with the minimum number of unneeded instruments. Clearly, the kitting of surgical instruments into trays has many benefits, yet the actual tray design is a complex combinatorial problem. We propose a mathematical programming formulation to decide on the composition of trays to minimize the costs of owning, maintaining, and using both the trays and the instruments. We show that the optimal configuration depends not only on physician instrument preferences but also on the actual operating rooms' schedules. This dependency implies that changing surgery schedules can have a significant impact on how trays should be configured. Our numerical experiments suggest that currently, hospital materials managers overestimate the cost of tray variety and underestimate the cost of re-processing the extra instruments in a tray. Using real-world hospital data, we demonstrate that optimizing trays can result in substantial cost savings for the hospital while increasing surgeons' satisfaction. We introduce a fast heuristic algorithm for finding a near-optimal low-cost tray configuration given surgeons' preferences and surgical schedules.
机译:美国的大多数医院都提供并管理手术室中使用的耐用手术器械的大量库存。数量庞大且种类繁多的仪器为确保在正确的时间提供正确的仪器带来了相当大的复杂性。手术器械通常作为特定过程的托盘组存储和交付手术室(OR),而单个托盘中包含多个器械。由于程序托盘由在不同机构接受培训的多名外科医生使用,因此程序托盘通常包括外科医生专用的器械。医院物料经理和外科医生似乎对不同托盘配置的各种属性有不同的权衡。物料经理希望限制库存成本和托盘种类。另一方面,外科医生更喜欢使用最少数量不需要器械的托盘。显然,将手术器械安装到托盘中有很多好处,但是实际的托盘设计是一个复杂的组合问题。我们提出了一种数学程序设计公式来决定托盘的组成,以最大程度地减少拥有,维护和使用托盘和仪器的成本。我们表明,最佳配置不仅取决于医师的仪器偏好,而且取决于实际手术室的时间表。这种依赖性意味着更改手术时间表可能会对应如何配置托盘产生重大影响。我们的数值实验表明,当前,医院物资经理高估了托盘种类的成本,而低估了重新处理托盘中多余器械的成本。通过使用真实的医院数据,我们证明优化托盘可以为医院节省大量成本,同时提高外科医生的满意度。我们引入了一种快速启发式算法,以根据外科医生的喜好和手术时间表来寻找一种近乎最优的低成本托盘配置。

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