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Appl. Sci. 2017, 7(3), 302; doi:10.3390/app7030302

Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining

1
Computer Science Department, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile
2
Internal Medicine Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile
3
Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA 98109, USA
4
Instituto Universitario de las Tecnologías de la Información y de las Comunicaciones (ITACA), Universitat Politécnica de València, Valencia 46022, Spain
5
Unidad Mixta de Reingeniería de Procesos Sociosanitarios (eRPSS), Instituto de Investigación Sanitaria del Hospital Universitario y Politecnico La Fe, Bulevar Sur S/N, Valencia 46026, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Wenbing Zhao, Xiong Luo and Tie Qiu
Received: 30 January 2017 / Revised: 7 March 2017 / Accepted: 15 March 2017 / Published: 21 March 2017
(This article belongs to the Special Issue Smart Healthcare)
View Full-Text   |   Download PDF [1193 KB, uploaded 21 March 2017]   |  

Abstract

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. View Full-Text
Keywords: process mining; emergency rooms; frequently-posed questions; methodology process mining; emergency rooms; frequently-posed questions; methodology
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MDPI and ACS Style

Rojas, E.; Sepúlveda, M.; Munoz-Gama, J.; Capurro, D.; Traver, V.; Fernandez-Llatas, C. Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining. Appl. Sci. 2017, 7, 302.

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