Minería de Procesos en salud: Análisis y Modelado de procesos en el área de Emergencias
(Process Mining in Healthcare: Analysis and Modeling of Processes in the Emergency Area)
Arturo Orellana García (firstname.lastname@example.org)1, Yosbani Enrique Pérez Ramírez (email@example.com)1, Osvaldo Ulises Armenteros Larrea (firstname.lastname@example.org)1
1Universidad de las Ciencias Informáticas
This paper appears in: Revista IEEE América Latina
Publication Date: May 2015
Volume: 13, Issue: 5
Decision making requires a high performance in strategic processes. The process mining is responsible for generating knowledge and discover processes from event logs that are extracted from information systems, for finding errors, inconsistencies and vulnerabilities. To improve its performance, organizations are looking for a better process management approach, which as a first step requires precise modeling of these. In the health sector, an area largely unexplored by researchers in the field, such modeling is even more critical given the nature of this kind of organization. Obtaining these processes is not trivial in many cases, but it is a very complex task. This article aims to generate process models through the ProM tool for obtaining detailed, realistic and easily analyzable views, from records stored in information systems for health processes, particularly in a hospital (which are rich in information and generally tend to be overlooked).
Decision making, event logs, health sector, process mining,
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