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

Joselyn Villavicencio-Condor, Andrea Valdivia-Castro, Martin Collao-Diaz, Rafael Chavez-Ugaz

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

Resumen

The problem identified in the health sector was the low level of external user satisfaction in medical health centres. Due to this, a model based on Lean methodology (TPM and work standardization) and machine learning were developed to improve external user satisfaction. Furthermore, a case study was carried out to validate the model in a company in Metropolitan Lima. Through the analysis of indicators, an increase in the level of patient satisfaction to 81.40% was shown, taking into account the percentage of cancelled appointments, availability of the CT scanner, downtime due to failure, and CT scanner handling time.

Idioma originalInglés estadounidense
Título de la publicación alojada2022 8th International Conference on Industrial and Business Engineering, ICIBE 2022
EditorialAssociation for Computing Machinery
Páginas204-210
-7
ISBN (versión digital)9781450397582
DOI
EstadoIndizado - 27 set. 2022
Publicado de forma externa
Evento8th International Conference on Industrial and Business Engineering, ICIBE 2022 - Virtual, Online, China
Duración: 27 set. 202229 set. 2022

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia8th International Conference on Industrial and Business Engineering, ICIBE 2022
País/TerritorioChina
CiudadVirtual, Online
Período27/09/2229/09/22

Nota bibliográfica

Publisher Copyright:
© 2022 ACM.

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