DocumentCode :
75936
Title :
Process Mining in Healthcare: Analysis and Modeling of Processes in the Emergency Area
Author :
Orellana Garcia, Arturo ; Perez Ramirez, Yosbani Enrique ; Armenteros Larrea, Osvaldo Ulises
Author_Institution :
Univ. de las Cienc. Informaticas, Havana, Cuba
Volume :
13
Issue :
5
fYear :
2015
fDate :
May-15
Firstpage :
1612
Lastpage :
1618
Abstract :
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).
Keywords :
data mining; decision making; emergency management; health care; ProM tool; decision making; emergency area; healthcare; knowledge discovery; knowledge generation; process management approach; process mining; Business; Genetics; Hospitals; Information systems; PROM; Silicon; Decision making; event logs; health sector; process mining;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2015.7112022
Filename :
7112022
Link To Document :
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