• DocumentCode
    3684198
  • Title

    CPDI: An Index for measuring deviations in Clinical Pathways

  • Author

    M. Zema;S. Rosati;J. E. Duran Carvajal;G. Balestra

  • Author_Institution
    Department of Electronics and Telecommunications, Politecnico di Torino, Italy
  • fYear
    2015
  • Firstpage
    1385
  • Lastpage
    1388
  • Abstract
    Clinical Pathways (CPs) are evidence-based recommendation for treating a diagnosis and an effective instrument to decrease undesired practice variability and improve clinician performance. Deviations from CPs might just as well reduce quality of care. Moreover they can be associated to possible adverse events. In this perspective, we developed and tested a system for comparing a patient trajectory (PT) with the corresponding CP in order to recognize significant variations. To measure adherence, a Clinical Pathway Deviation Index (CPDI) was constructed as the weighted-sum of five indicators. To build the indicators three different tools for CPs modeling have been tested. Only two of them proved suitable for our system. A preliminary analysis has been carried out using data of 24 real PTs. The aim of this paper is to present the system and to characterize CPDI performances.
  • Keywords
    "Indexes","Analytical models","Documentation","Biomedical measurement","Guidelines","Telecommunications","Surgery"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7318627
  • Filename
    7318627