• DocumentCode
    3336299
  • Title

    Modeling of Clinical Pathways based on Ontology

  • Author

    Hu, Zhen ; Li, Jing-song ; Yu, Hai-Yan ; Zhang, Xiao-Guang ; Suzuki, Muneou ; Araki, Kenji

  • Author_Institution
    Healthcare Inf. Eng. Res. Center, Zhejiang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    1170
  • Lastpage
    1174
  • Abstract
    Implementing electronic clinical pathways (ECPs) is important and necessary in the digitalized hospital. ECPs could not only improve the efficiency and quality of patient care, but also help medical staffs to share vast medical information, which is difficult with paper-based pathways. So computerization of paper-based pathways is the key point in executing the ECPs, however, there are no general methods to represent clinical pathways. The objective of this study is to adopt the ontological approach to capture and represent the clinical pathways. We analysis the structures and characteristics of 10 clinical pathways and try to build a clinical pathway ontology, which is constituted by four main units: (i) timeline; (ii) category of care; (iii) outcome criteria; (iv) variance record. This clinical pathway ontology will make a great contribution to design the ontology-based ECPs prototype integrated into electronic medical record.
  • Keywords
    medical computing; medical information systems; ontologies (artificial intelligence); patient care; digitalized hospital; electronic clinical pathway ontology; electronic medical record; medical information; ontology-based ECP; paper-based pathway; patient care; timeline; variance record; Analysis of variance; Biomedical engineering; Biomedical informatics; Data models; Financial management; Hospitals; Medical diagnostic imaging; Ontologies; Prototypes; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-3928-7
  • Electronic_ISBN
    978-1-4244-3930-0
  • Type

    conf

  • DOI
    10.1109/ITIME.2009.5236262
  • Filename
    5236262