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Preference based scheduling for medical residents and interns at the University of Virginia

机译:弗吉尼亚大学医疗居民和实习生基于偏好的计划安排

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At the University of Virginia (UVa) Hospital, medical residents and interns serve month-long rotations through different medical specialties. The competing considerations governing the annual assignment and scheduling of rotations are complex, including hospital staffing requirements, individual preferences for specialties and holidays, breadth of exposure, and externally imposed regulations on duty hours. In this paper, we describe the development of a fully-integrated software system that relieves the chief resident in internal medicine from the difficult and time-consuming task of manual schedule preparation. The system features online data collection, storage, and retrieval and incorporates Gurobi linear solver for optimal schedule generation. The system has been demonstrated to yield schedules that are at least as good as (and often superior to) those developed manually, at an annual savings of more than two-hundred hours of professional time. With minor customization, the system could be applied to hospitals across the country, potentially saving millions of dollars, improving the quality of both graduate medical education and overall patient care.
机译:在弗吉尼亚大学(UVa)医院,医学住院医师和实习生通过不同的医学专业进行为期一个月的轮岗。每年轮换的安排和日程安排的竞争考虑因素很复杂,包括医院人员配备要求,个人对专业和节假日的偏好,接触的广度以及外部规定的工作时间规定。在本文中,我们描述了一个完全集成的软件系统的开发,该系统可以使内科的主要住院医生摆脱手动计划表的艰巨且耗时的任务。该系统具有在线数据收集,存储和检索功能,并集成了Gurobi线性求解器以优化计划生成。事实证明,该系统可以产生至少与手动制定的时间表一样好的计划,并且通常要优于手动制定的计划,每年可以节省超过200个小时的专业时间。通过少量的定制,该系统可以应用于全国各地的医院,从而可能节省数百万美元,从而提高了研究生医学教育和整体患者护理的质量。

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