Rojas, E.; Sepúlveda, M.; Munoz-Gama, J.; Capurro, D.; Traver Salcedo, V.; Fernández Llatas, C. (2017). Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining. Applied Sciences. 7(3):1-29. https://doi.org/10.3390/app7030302
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/151167
Title:
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Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining
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Author:
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Rojas, Eric
Sepúlveda, Marcos
Munoz-Gama, Jorge
Capurro, Daniel
Traver Salcedo, Vicente
Fernández Llatas, Carlos
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
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Issued date:
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Abstract:
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[EN] In order to improve the efficiency and effectiveness of Emergency Rooms (ER), it is important to provide answers to frequently-posed questions regarding all relevant processes executed therein. Process mining provides ...[+]
[EN] In order to improve the efficiency and effectiveness of Emergency Rooms (ER), it is important to provide answers to frequently-posed questions regarding all relevant processes executed therein. Process mining provides different techniques and tools that help to obtain insights into the analyzed processes and help to answer these questions. However, ER experts require certain guidelines in order to carry out process mining effectively. This article proposes a number of solutions, including a classification of the frequently-posed questions about ER processes, a data reference model to guide the extraction of data from the information systems that support these processes and a question-driven methodology specific for ER. The applicability of the latter is illustrated by means of a case study of an ER service in Chile, in which ER experts were able to obtain a better understanding of how they were dealing with episodes related to specific pathologies, triage severity and patient discharge destinations.
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Subjects:
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Process mining
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Emergency rooms
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Frequently-posed questions
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Methodology
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Copyrigths:
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Reconocimiento (by)
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Source:
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Applied Sciences. (eissn:
2076-3417
)
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DOI:
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10.3390/app7030302
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Publisher:
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MDPI AG
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Publisher version:
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https://doi.org/10.3390/app7030302
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Project ID:
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FONDECYT/1150365
FONDECYT/11130577
CONICYT/2014-63140180
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Thanks:
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This project was partially funded by Fondecyt Grants 1150365 and 11130577 from the Chilean National Commission on Scientific and Technological Research (CONICYT), the Ph.D. Scholarship Program of CONICYT Chile (CONICYT-Doctorado ...[+]
This project was partially funded by Fondecyt Grants 1150365 and 11130577 from the Chilean National Commission on Scientific and Technological Research (CONICYT), the Ph.D. Scholarship Program of CONICYT Chile (CONICYT-Doctorado Nacional/2014-63140180), the Ph.D. Scholarship Program of CONICIT Costa Rica and by Universidad de Costa Rica Professor Fellowships.
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Type:
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Artículo
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