000079375 001__ 79375
000079375 005__ 20210520140809.0
000079375 037__ $$aTESIS-2019-103
000079375 041__ $$aspa
000079375 080__ $$a33
000079375 1001_ $$aBetancourt Odio, Manuel Alejandro
000079375 24500 $$aGestión óptima de citas médicas mediante la aplicación de un modelo de optimización multicriterio
000079375 260__ $$aZaragoza$$bUniversidad de Zaragoza, Prensas de la Universidad$$c2019
000079375 300__ $$a380
000079375 4900_ $$aTesis de la Universidad de Zaragoza$$v2019-83$$x2254-7606
000079375 500__ $$aPresentado: 10 04 2019
000079375 502__ $$aTesis-Univ. Zaragoza, Estructura e Historia Económica y Economía Pública, 2019$$bZaragoza, Universidad de Zaragoza$$c2019
000079375 506__ $$aall-rights-reserved
000079375 520__ $$aThe Cuban health system is known worldwide for its good results in the prevention of diseases and for its continuous improvements in health standards. However, we want to go a step further and put the patient at the center of the system. <br />To this task, we propose a methodology that allows a complete automatization of the medical appointment system so that patients will know in advance the average time they will spend in the hospital the day of the appointment, as well as the sequence of medical tests that will have to undertake. We develop a non linear integer multi-goal model (NLIMGM) model to perform an optimal distribution of patients. Our model assign appointments to patients according to two different goals: to give the appointments as soon as possible and to minimize the time that a patient would spend in the hospital to complete a protocol.<br />The performance of the resulting NLIMGM policies was compared with traditional practices decision rules for the diagnosis and treatment of ophthalmology diseases in a Cuba hospital. The results show that this method outperforms traditional methods by far. Specifically, this approach will increase the efficiency of appointments scheduling and reduces the total diagnosis time for cataract, cornea, glaucoma by 46% on average or, in other words, by roughly one hour, relative to the standard approach. Arguably, this translates into improved patient satisfaction and efficiency in the use of resources in health services. <br />
000079375 520__ $$a<br />
000079375 521__ $$97090$$aPrograma de Doctorado en Economía
000079375 6531_ $$aeconomia general
000079375 700__ $$aLAZARO ALQUEZAR, ANGELINA$$edir.
000079375 7102_ $$aUniversidad de Zaragoza$$bEstructura e Historia Económica y Economía Pública
000079375 830__ $$9502
000079375 8560_ $$ftdr@unizar.es
000079375 8564_ $$uhttps://zaguan.unizar.es/record/79375/files/TESIS-2019-103.pdf$$zTexto completo (spa)
000079375 909CO $$ooai:zaguan.unizar.es:79375$$pdriver
000079375 909co $$ptesis
000079375 9102_ $$a$$bEstructura e Historia Económica y Economía Pública
000079375 980__ $$aTESIS