Service model under the lean service and machine learning approach to increase external user satisfaction: a case study in the health sector smes in Peru
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Tesis
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Fecha
2023Asesor(es)
Metadatos
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In managing health services, one of the crucial factors is user satisfaction, from how the service is perceived and behaves to what is expected and what is obtained from the quality of care [1]. Furthermore, in good management, the processes that contribute more to care must be correctly established, knowing the needs of the public, having qualified medical staff, and knowing how to communicate effectively with patients [2]. In the Peruvian health sector, a per capita expenditure of $51 is recorded, which is lower than in most Latin American countries [3]. It shows that the budget execution for the sector has been low, according to the Peruvian Foreign Trade Society [4]; this influences the management of resources since it would not be investing to cover gaps such as human capital, infrastructure, and equipment.
Cómo citar
Valdivia Castro, A. X. & Villavicencio Condor, J. E. (2023). Service model under the lean service and machine learning approach to increase external user satisfaction: a case study in the health sector smes in Peru [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/18991Editor
Universidad de LimaCategoría / Subcategoría
Ingeniería industrial / Tecnología de procesosTemas
Servicios de salud
Producción eficiente
Mantenimiento productivo total
Estándares de desempeño
Aprendizaje automático
Satisfacción del cliente
Pequeñas y medianas empresas
Health services
Lean manufacturing
Total productive maintenance
Performance standards
Machine learning
Consumer satisfaction
Small business
Producción eficiente
Mantenimiento productivo total
Estándares de desempeño
Aprendizaje automático
Satisfacción del cliente
Pequeñas y medianas empresas
Health services
Lean manufacturing
Total productive maintenance
Performance standards
Machine learning
Consumer satisfaction
Small business
Coleccion(es)
- Tesis [887]
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