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dc.contributor.authorTalay, Işılay
dc.contributor.authorHolmes, Casey J.
dc.contributor.authorKuo, Paul C.
dc.contributor.authorJennings, Otis B.
dc.date.accessioned2020-03-20T10:52:42Z
dc.date.available2020-03-20T10:52:42Z
dc.date.issued2013
dc.identifier.citationTalay, I., Holmes, C. J., Kuo, P. C., & Jennings, O. B. (2013). An analytic decision support tool for resident allocation. Journal of Surgical Education, 70(1), 31-35.en_US
dc.identifier.issn1931-7204
dc.identifier.urihttp://hdl.handle.net/20.500.12566/316
dc.description.abstractMoving residents through an academic residency program is complicated by a number of factors. Across all residency programs the percentage of residents that leave for any reason is between 3.4% and 3.8%.1 There are a number of residents that participate in research. To avoid discrepancies in the number of residents at the all levels, programs must either limit the number of residents that go into the lab, the number that return to clinical duties, or the number of interns to hire. Traditionally this process consists of random selection and trial and error with names on magnetic strips moved around a board. With the matrix that we have developed this process is optimized and aided by a Microsoft Excel macro (Microsoft Corp, Redmond, Washington). We suggest that a residency program would have the same number of residents at each residency stage of clinical practice, as well as a steady number of residents at each research stage. The program consists of 2 phases, in the first phase, an Excel sheet called the “Brain Sheet,” there are simple formulas that we have prepared to determine the number of interns to recruit, residents in the research phase, and residents that advance to the next stage of training. The second phase of the program, the macro, then takes the list of current resident names along with the residency level they are in, and according to the formulas allocates them to the relevant stages for future years, creating a resident matrix. Our macro for resident allocation would maximize the time of residency program administrators by simplifying the movement of residents through the program. It would also provide a tool for planning the number of new interns to recruit and program expansion. The application of our macro illustrates that analytical techniques can be used to minimize the time spent and avoid the trial and error while planning resident movement in a program.en_US
dc.description.sponsorshipNo sponsoren_US
dc.language.isoenen_US
dc.publisherJournal of Surgical Educationen_US
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_US
dc.subjectOperations researchen_US
dc.subjectYöneylem araştırmasıtr_TR
dc.subjectSurgery residencyen_US
dc.subjectAmeliyat asistanlığıtr_TR
dc.subjectMacroen_US
dc.subjectMakrotr_TR
dc.subjectScheduleen_US
dc.subjectProgramlamaktr_TR
dc.titleAn analytic decision support tool for resident allocationen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.relation.publicationcategoryInternational publicationen_US
dc.identifier.wosWOS:000314559200006
dc.identifier.volume70
dc.identifier.issue1
dc.identifier.startpage31
eperson.identifier.endpage35
dc.contributor.orcid0000-0002-8956-9505 [Talay, Işılay]
dc.contributor.abuauthorTalay, Işılay
dc.contributor.yokid119457 [Talay, Işılay]
dc.identifier.PubMedID23337667
dc.identifier.doihttps://doi.org/10.1016/j.jsurg.2012.07.003


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