Design of an Information System for optimizing the Programming of Nursing Work Shifts

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Fecha
2020
Profesor/a Guía
Facultad/escuela
Idioma
en
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ISSN de la revista
Título del volumen
Editor
Institute of Physics Publishing
Nombre de Curso
Licencia CC
Attribution 3.0 Unported CC BY 3.0 Deed
Licencia CC
https://creativecommons.org/licenses/by/3.0/
Resumen
Health institutions operate twenty-four hours a day, seven days a week. They face a demand that fluctuates daily. Unlike jobs with fixed hours and obligatory days off, in health, operational continuity is required. The allocation for nursing shifts generates a rotation of people for health services according to legal and casuistic guidelines. Assigning and planning shifts results in a workload that takes an average of five to six extra hours. Existing applications offer a partial solution because they do not consider the news and contingencies of a health service. A web application is presented that, given a list of nurses, historical shifts and restrictions, a work shift planning is generated. This application comes to support the current shift allocation method based on electronic spreadsheets. The development consists of two modules. The first module has a shift allocation algorithm developed in C ++ and the second module has a graphical interface. As a case study, a set of health services from Chile and Colombia was used. The services have a defined number of nurses, who work different shifts according to the role and need of the institution. The results obtained are similar to a historical one. The proposed system takes less time and delivers various files and parameters that can be useful for nurses, the service and the health institution. © Published under licence by IOP Publishing Ltd.
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Indexación: Scopus
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Citación
IOP Conference Series: Materials Science and Engineering Volume 844, Issue 129 June 2020 Article number 0120442019 Research, Innovation and Development in Engineering, Expotecnologia 2019Cartagena de Indias30 October 2019through 1 November 2019Code 161603
DOI
10.1088/1757-899X/844/1/012044
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