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Michigan Medicine Infectious Disease Department: Efficient Attending Scheduling

dc.contributor.authorHattar, Laura F
dc.contributor.advisorCohn, Amy
dc.date.accessioned2021-09-21T20:31:19Z
dc.date.available2021-09-21T20:31:19Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/2027.42/169556
dc.description.abstractAssigning shifts in a hospital setting can often be complicated. Attendees often want fair schedules that avoid having them work long hours, on requested vacations dates, or back-to-back shifts that change hospital locations. There is also the complication of assigning attendings to shifts they are qualified to work based on their experience. It often takes a lot of time to manually create a single draft schedule with these constraints in mind and only becomes more time consuming to adjust and redraft a given schedule. The problem described above can be written as a linear programming model. This model can then be translated into code which generates schedules. A similar code exists from a different scheduling project and the task at hand is to tweak the current code to one that will work for this specific project. Therefore, the purpose of this project is to provide an automated system to generate an attendee schedule for the calendar year quickly and conveniently, even with complex constraints and rules.
dc.subjecthealthcare
dc.subjectoptimization
dc.subjectschedule
dc.subjectscheduling
dc.titleMichigan Medicine Infectious Disease Department: Efficient Attending Scheduling
dc.typeProject
dc.contributor.affiliationumIndustrial and Operations Engineering
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/169556/1/Hattar_Capstone_Final_Report.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/169556/2/Hattar_Design_Expo.pptx
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/169556/3/Hattar_Capstone_Presentation.pptx
dc.identifier.doihttps://dx.doi.org/10.7302/2601
dc.working.doi10.7302/2601en
dc.owningcollnameHonors Program, The College of Engineering


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