dc.creatorCalero, Lucero
dc.creatorMaccasi, Aracelli
dc.creatorRaymundo, Carlos
dc.date.accessioned2021-05-24T16:03:24Z
dc.date.accessioned2024-05-07T02:06:58Z
dc.date.available2021-05-24T16:03:24Z
dc.date.available2024-05-07T02:06:58Z
dc.date.created2021-05-24T16:03:24Z
dc.date.issued2020-01-01
dc.identifier21945357
dc.identifier10.1007/978-3-030-25629-6_144
dc.identifierhttp://hdl.handle.net/10757/656140
dc.identifier21945365
dc.identifierAdvances in Intelligent Systems and Computing
dc.identifier2-s2.0-85070000222
dc.identifierSCOPUS_ID:85070000222
dc.identifier0000 0001 2196 144X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9325169
dc.description.abstractIn Peru, the health service has had certain problems in the attention of users. The emergency service of clinics has been saturated due to changes in the needs of people and demand, exposing the prestige of health entities that have this unit and generating risks for the health of users, this is reflected in the low level of satisfaction with regard to care. Based on the Lean philosophy, a model is developed using SMED, Kanban and pull tools to reduce waiting times. The application of this model of pilot in the Clinic reduces the waiting time for the first attention in 30% thereby reducing the number of fines imposed by the corresponding regulatory entity and the desertion in emergency, achieving an average time of 37 min.
dc.languageeng
dc.publisherSpringer Verlag
dc.relationhttps://link.springer.com/chapter/10.1007/978-3-030-25629-6_144
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)
dc.sourceRepositorio Académico - UPC
dc.sourceAdvances in Intelligent Systems and Computing
dc.source1018
dc.source924
dc.source930
dc.subjectAttention time
dc.subjectHealth sector
dc.subjectLean healthcare
dc.subjectPull system
dc.subjectSMED
dc.titleLean model of services for the improvement in the times of attention of the emergency areas of the health sector
dc.typeinfo:eu-repo/semantics/article


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