• DocumentCode
    3746258
  • Title

    Automated estimation of surgery duration for the optimization of operative rooms´ planning

  • Author

    Antoine Lamer;Julien De Jonckeere;Mathieu Jeanne;Michel Delecroix;Regis Logier

  • Author_Institution
    INSERM CIC 1403, University Hospital of Lille, Maison R?gionale de la Recherche Clinique, 2 avenue Oscar Lambret 59037 Lille, Cedex, France
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    At the University Hospital of Lille, the operative rooms´ planning is based on estimated durations of surgery, so that a theoretical time is automatically affected depending on types of surgery independently of surgeons and techniques. As a result, this estimated duration of surgery is not updated, and does not take into account the evolution of surgical techniques or increasing surgeon´s experience. In clinical practice, computing surgery duration for each surgeon and each type of surgery could be time consuming regarding the high number of interventions. In this paper, we assumed that Electronic Health Records can be used to automatically estimate theoretical durations of surgery in order to optimize operative rooms´ scheduling. Finally, we validated our system in the particular context of total hip replacement duration estimation.
  • Keywords
    "Surgery","Data warehouses","Hospitals","Hip","Planning","Anesthesia","Software"
  • 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.2015.7407153
  • Filename
    7407153