Integrating Proactive and Reactive Operating Room Management

集成主动式和被动式手术室管理

• 批准号: 1333758
• 负责人: Oleg Prokopyev
• 金额: $ 35万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1333758&HistoricalAwards=false
• 关键词: Integrating; Proactive; Reactive; Operating; Room

The research objective of this award is to formulate, calibrate and solve operating room (OR) scheduling models that can adapt to unexpected events, such as unusually long procedures or patient ?no shows.? These models will produce initial schedules that will facilitate flexible reactions after the surgical day has begun, including moving procedures to different operating rooms and/or time slots. Unfortunately, the increased flexibility of such mathematical models comes at a cost: such models are very difficult to solve and existing techniques are sure to fail on even small examples. Deliverables will include generalizable insights into what aspects of OR schedules make them flexible, and a variety of widely applicable techniques for solving these difficult problems, as well as closely related planning problems under uncertainty arising in different domains. Healthcare costs in the US continue to rise significantly, and surgery accounts for a large portion of these costs. If successful, the results of this research will provide approaches for the design of OR schedules that are adaptable and flexible in response to unexpected events. We anticipate that there are large opportunities for optimizing surgical procedures, resulting in significant savings. The educational impacts of this proposal will benefit multiple groups. We will incorporate results of this research into courses aimed at a variety of levels. Students and medical researchers will be also trained through mentoring and their direct involvement in the research work, including the participation of undergraduate students via the REU program.

该奖项的研究目标是制定、校准和解决手术室 (OR) 调度模型，以适应意外事件，例如异常长的手术或患者“缺席”。这些模型将产生初始时间表，以促进手术日开始后的灵活反应，包括将手术转移到不同的手术室和/或时间段。不幸的是，此类数学模型灵活性的提高是有代价的：此类模型非常难以求解，现有技术即使在很小的例子上也肯定会失败。可交付成果将包括对 OR 计划的哪些方面使其具有灵活性的普遍见解，以及用于解决这些难题的各种广泛适用的技术，以及在不同领域出现的不确定性下密切相关的规划问题。美国的医疗保健费用持续大幅上升，其中手术费用占很大一部分。如果成功，这项研究的结果将为设计手术计划提供方法，使其能够适应和灵活地应对意外事件。我们预计，优化手术程序有很大的机会，从而节省大量费用。该提案的教育影响将使多个群体受益。我们将把这项研究的结果纳入针对不同级别的课程中。学生和医学研究人员还将通过指导和直接参与研究工作（包括本科生通过 REU 计划参与）来接受培训。