An analytic decision support tool for resident allocation.

Published

Journal Article

BACKGROUND: Moving 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). METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Full Text

Duke Authors

Cited Authors

  • Talay-De─čirmenci, I; Holmes, CJ; Kuo, PC; Jennings, OB

Published Date

  • January 2013

Published In

Volume / Issue

  • 70 / 1

Start / End Page

  • 31 - 35

PubMed ID

  • 23337667

Pubmed Central ID

  • 23337667

Electronic International Standard Serial Number (EISSN)

  • 1878-7452

Digital Object Identifier (DOI)

  • 10.1016/j.jsurg.2012.07.003

Language

  • eng

Conference Location

  • United States