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Process mining methodology for health process tracking using real-time indoor location systems

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Process mining methodology for health process tracking using real-time indoor location systems

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Fernández Llatas, C.; Lizondo, A.; Montón Sánchez, E.; Benedí Ruiz, JM.; Traver Salcedo, V. (2015). Process mining methodology for health process tracking using real-time indoor location systems. Sensors. 12:29821-29840. doi:10.3390/s151229769

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/64124

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Title: Process mining methodology for health process tracking using real-time indoor location systems
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] The definition of efficient and accurate health processes in hospitals is crucial for ensuring an adequate quality of service. Knowing and improving the behavior of the surgical processes in a hospital can improve the ...[+]
Subjects: Process mining , Indoor location systems , Health process
Copyrigths: Reconocimiento (by)
Source:
Sensors. (issn: 1424-8220 )
DOI: 10.3390/s151229769
Publisher:
MDPI
Publisher version: http://dx.doi.org/10.3390/s151229769
Project ID: info:eu-repo/grantAgreement/EC/FP7/600914 info:eu-repo/grantAgreement/EC/FP7/315659/EU
Thanks:
The authors want to acknowledge the work MySphera Company and Hospital General for their invaluable support. This work was supported in part by several projects; FASyS-Absolutely Safe and Healthy Factory (Spanish Ministry ...[+]
Type: Artículo

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