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Optimization Based Dynamic Schedule of Training Rotation

This proposal requests funding to support an analytical study that aims to develop a computer program to facilitate the scheduling of clinical rotations for resident physicians during the course of their three year training program. The residency program at RGH will serve as a "laboratory" to develop a program that can be used by any residency program. We anticipate publication of the results of the study. Every year, Rochester General Hospital (RGH), like all sponsors of internal medicine residency programs, must determine how to schedule the rotation of its resident physicians across multiple clinical units. Developing this schedule is a complex task because training planners must ensure that: (1) over three years, each resident rotates through all required training units; (2) each resident spends time in each rotational unit between the minimum and maximum times required by the unit; (3) at any given point in time, the number of resident doctors in each unit must satisfy its staffing needs and it must not exceed the maximum number of residents that the unit can handle; (4) residents have two two-week periods of vacation per year, according to their preferences, and legal requirements; (5) residents complete the required number of outpatient clinic assignments, minimizing absences mandated by night and ICU rotations and maximizing continuity with a specific panel of patients and preceptors; (6) there is a minimum number of residents of years 1, 2 and 3 in each rotational unit to facilitate the instructional program; (7) match clinical rotations with the skill levels acquired during the course of residency; (8) the program is in compliance with regulations regarding work hours. Additionally, the rotational plan must ensure that the rotation of residents ensures continuity of care for an uncertain demand of patients. RGH currently develops their rotational schedule through a manually intensive process that requires significant administrative time from physicians and which does not ensure that the resulting schedules are the most beneficial to the hospital or to the residents. Furthermore, with the current scheduling process, the hospital is unable to evaluate how resident rotation can affect clinical care and quality of learning.

PI: RubenĀ Proano

  Rochester Institute of Technology
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Rochester, NY 14623-5603
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