• DocumentCode
    2301172
  • Title

    Modeling and analysis of hospital emergency department: An analytical framework and problem formulation

  • Author

    Li, Jingshan ; Howard, Patricia K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Kentucky, Lexington, KY, USA
  • fYear
    2010
  • fDate
    21-24 Aug. 2010
  • Firstpage
    897
  • Lastpage
    902
  • Abstract
    In this paper, we propose an analytical framework for modeling and analysis of hospital emergency departments (ED). Using such a framework, we intend to develop methods that can be used to improve ED performance through redistributing limited resources and through identifying and mitigating bottlenecks. Specifically, the following problems will be addressed: (1) analytical modeling and investigation of patient flow and quality of care (e.g., patient outcome or length of stay) in emergency departments, (2) identifying the factors that impede ED performance in the strongest manner and obtaining optimal distribution of limited resources for the best quality of care, and (3) determine optimal workforce configuration and resource allocation to achieve desired performance. A system-theoretic method is proposed to model ED as a complex network with split, parallel, closed, and re-entrant structures, for performance analysis, bottleneck mitigation and resource allocation.
  • Keywords
    emergency services; hospitals; optimisation; patient care; resource allocation; analytical modeling; bottleneck mitigation; hospital emergency department; optimal resource distribution; optimal workforce configuration; patient care; patient flow; problem formulation; resource allocation; system-theoretic method; Analytical models; Blood; Computational modeling; Discharges; Hospitals; Testing; Emergency Department; analytical framework; improvability theory; length of stay; patient flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2010 IEEE Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-5447-1
  • Type

    conf

  • DOI
    10.1109/COASE.2010.5583968
  • Filename
    5583968