- -

Process Mining Dashboard in Operating Rooms: Analysis of Staff Expectations with Analytic Hierarchy Process

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Process Mining Dashboard in Operating Rooms: Analysis of Staff Expectations with Analytic Hierarchy Process

Show full item record

Martinez-Millana, A.; Lizondo, A.; Gatta, R.; Vera, S.; Traver Salcedo, V.; Fernández Llatas, C. (2019). Process Mining Dashboard in Operating Rooms: Analysis of Staff Expectations with Analytic Hierarchy Process. International Journal of Environmental research and Public Health. 16(2):1-14. https://doi.org/10.3390/ijerph16020199

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/157757

Files in this item

Item Metadata

Title: Process Mining Dashboard in Operating Rooms: Analysis of Staff Expectations with Analytic Hierarchy Process
Author: Martinez-Millana, Antonio Lizondo, Aroa Gatta, Roberto Vera, Salvador Traver Salcedo, Vicente Fernández Llatas, Carlos
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 Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] The widespread adoption of real-time location systems is boosting the development of software applications to track persons and assets in hospitals. Among the vast amount of applications, real-time location systems ...[+]
Subjects: Process mining , Analytic hierarchy process , Operating rooms , Usability , Software , Co-design
Copyrigths: Reconocimiento (by)
Source:
International Journal of Environmental research and Public Health. (issn: 1660-4601 )
DOI: 10.3390/ijerph16020199
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/ijerph16020199
Project ID:
info:eu-repo/grantAgreement/EC/H2020/812386/EU
Thanks:
This project received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 812386.
Type: Artículo

This item appears in the following Collection(s)

Show full item record