• DocumentCode
    2043956
  • Title

    Knowledge framework for clinical processes architecture and analysis

  • Author

    Kosinar, Michael A. ; Czopik, Jan ; Stolfa, Jakub ; Penhaker, Marek

  • Author_Institution
    Dept. of Comput. Sci., VSB - Tech. Univ. of Ostrava, Ostrava-Poruba, Czech Republic
  • fYear
    2015
  • fDate
    22-24 Jan. 2015
  • Firstpage
    307
  • Lastpage
    311
  • Abstract
    Last decades have introduced different improvements into healthcare information systems domain including features like open interfaces to clinical facilities, improved patients registers, connectivity to insurance companies, and clinical pathways and workflows. The last named - clinical pathways and workflows - is a part of a complex area known as process modeling and architecture and except the control and management it also offers additional advantages like process optimization, re-engineering, analysis, and automatized process execution. This paper discusses application of explicit knowledge profiles based on process meta-model within clinical processes, alignment with visual process modeling, and further analysis with simulation and reverse engineering methods.
  • Keywords
    knowledge management; medical information systems; clinical pathway; clinical process analysis; clinical process architecture; clinical workflow; healthcare information system; knowledge framework; knowledge profile; reverse engineering method; simulation method; visual process modeling; Adaptation models; Analytical models; Mathematical model; Medical services; OWL; Reverse engineering; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics (SAMI), 2015 IEEE 13th International Symposium on
  • Conference_Location
    Herl´any
  • Type

    conf

  • DOI
    10.1109/SAMI.2015.7061894
  • Filename
    7061894