• DocumentCode
    1909045
  • Title

    Modeling care teams at Mayo Clinic

  • Author

    Rohleder, Thomas ; Huschka, Todd ; Egginton, Jason ; O´Neil, Dan ; Woychick, Naomi

  • Author_Institution
    Mayo Clinic, Rochester, MN, USA
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    2304
  • Lastpage
    2314
  • Abstract
    At Mayo Clinic, care teams are being evaluated as a means to improve health care staff productivity and patient service. Traditional care in outpatient practices has health care staff working independently of each other with little coordination. Initial feedback by participating practices support the value of care teams. Our research focuses on a quantitative analysis of the care teams approach. By collecting detailed task data related to patient visits we then use discrete-event simulation to design alternative care team configurations, analyze staffing cost options, and compare these to traditional outpatient care delivery.
  • Keywords
    costing; discrete event simulation; health care; patient care; personnel; productivity; team working; Mayo Clinic; care team configuration; care team modeling; discrete-event simulation; health care staff productivity; outpatient care delivery; patient service; quantitative analysis; staffing cost option analysis; Analytical models; Back; Data models; Humans; Mathematical model; Medical services; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2010 Winter
  • Conference_Location
    Baltimore, MD
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4244-9866-6
  • Type

    conf

  • DOI
    10.1109/WSC.2010.5678928
  • Filename
    5678928