TY - GEN
T1 - A systems approach for hospital inpatient bed capacity planning
AU - Gopakumar, Balagopal
AU - Wang, Shengyong
AU - Khasawneh, Mohammad T.
AU - Srihari, Krishnaswami
AU - Gandhi, Tejas
AU - Saunders, Ninfa
PY - 2009
Y1 - 2009
N2 - Evaluating best strategies across the organization has been a major challenge for healthcare decision makers. The complex nature of patient flow and the unpredictability involved makes discrete event simulation an ideal tool for evaluating strategic decisions in hospital inpatient capacity planning. In this paper, simulation was used to evaluate scenarios pertaining to hospital inpatient capacities. The requirement of additional capacities over the planning horizon was modeled and evaluated. Similarly, the impacts of the opening of a new competing hospital facility were studied.
AB - Evaluating best strategies across the organization has been a major challenge for healthcare decision makers. The complex nature of patient flow and the unpredictability involved makes discrete event simulation an ideal tool for evaluating strategic decisions in hospital inpatient capacity planning. In this paper, simulation was used to evaluate scenarios pertaining to hospital inpatient capacities. The requirement of additional capacities over the planning horizon was modeled and evaluated. Similarly, the impacts of the opening of a new competing hospital facility were studied.
KW - Capacity planning
KW - Simulation
UR - https://www.scopus.com/pages/publications/77949499115
U2 - 10.1109/IEEM.2009.5372930
DO - 10.1109/IEEM.2009.5372930
M3 - Conference contribution
SN - 9781424448708
T3 - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 744
EP - 748
BT - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
Y2 - 8 December 2009 through 11 December 2009
ER -