• 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