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dc.creatorOrtiz Barrios, Miguel Angel
dc.creatorMcClean, S. I.
dc.creatorNugent, Chris D.
dc.creatorCastillo Zea, Anyeliz Yulieth
dc.date.accessioned2018-11-19T12:46:00Z
dc.date.available2018-11-19T12:46:00Z
dc.date.issued2016
dc.identifier.isbn978-331948745-8
dc.identifier.issn03029743
dc.identifier.urihttp://hdl.handle.net/11323/1283
dc.description.abstractAppointment lead-time is a critical variable in outpatient clinic services. In Gynecology and Obstetrics departments, longer appointment lead times are associated with lower patient satisfaction, the use of more complex healthcare services, development of long-term and severe complications and the increase of fetal, infant and maternal mortality rates. This paper aims to define and evaluate improvement alternatives through the use of Discrete-event simulation (DES). First, input data analysis is performed. Second, the simulation model is created; then, performance metrics are calculated and analyzed. Finally, improvement scenarios are designed and assessed. A case study of a mixed-patient type environment (Perinatology and Gynecobstetrics) in an outpatient department has been explored to verify the effectiveness of the proposed approach. Statistical analysis evidence that appointment lead times could be significantly reduced in both Perinatology and Gynecobstetrics appointments based on the proposed approaches in this paper.spa
dc.language.isoengeng
dc.publisherLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)eng
dc.rightsAtribución – No comercial – Compartir igualeng
dc.subjectAppointment lead-timeeng
dc.subjectDiscrete event simulationeng
dc.subjectGynecologyeng
dc.subjectHealthcareeng
dc.subjectObstetricseng
dc.subjectOutpatient departmenteng
dc.titleReducing appointment lead-time in an outpatient department of gynecology and obstetrics through discrete-event simulation: A case studyeng
dc.typeArticleeng
dc.identifier.doi10.1007/978-3-319-48746-5_28


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