TY - BOOK
T1 - Managing the overflow of intensive care patients
AU - van Rijsbergen, Marleen
AU - Boucherie, Richard J.
AU - van Houdenhoven, Mark
AU - Litvak, Nelly
PY - 2005
Y1 - 2005
N2 - Many hospitals in the Netherlands are confronted with capacity problems at their Intensive Care Units (ICUs) resulting in cancelling operations, overloading the staff with extra patients, or rejecting emergency patients. In practice, the last option is a common choice because juridically, as well as for hospital logistics, rejecting emergency patients has minimal consequences for the hospital. As a result, emergency patients occasionally have to be transported to hospitals far away. In this work, we propose a cooperative solution for the ICU capacity problem. In our model, several hospitals in a region jointly reserve a small number of beds for regional emergency patients. We present a mathematical method for computing the number of regional beds for any given acceptance rate. The analytic approach is inspired by overflow models in telecommunication systems with multiple streams of telephone calls. Simulation studies show that our model is quite accurate. We conclude that cooperation between hospitals helps to achieve a high acceptance level with a smaller number of beds resulting in improved service for all patients.
AB - Many hospitals in the Netherlands are confronted with capacity problems at their Intensive Care Units (ICUs) resulting in cancelling operations, overloading the staff with extra patients, or rejecting emergency patients. In practice, the last option is a common choice because juridically, as well as for hospital logistics, rejecting emergency patients has minimal consequences for the hospital. As a result, emergency patients occasionally have to be transported to hospitals far away. In this work, we propose a cooperative solution for the ICU capacity problem. In our model, several hospitals in a region jointly reserve a small number of beds for regional emergency patients. We present a mathematical method for computing the number of regional beds for any given acceptance rate. The analytic approach is inspired by overflow models in telecommunication systems with multiple streams of telephone calls. Simulation studies show that our model is quite accurate. We conclude that cooperation between hospitals helps to achieve a high acceptance level with a smaller number of beds resulting in improved service for all patients.
KW - MSC-90B90
KW - MSC-90B22
KW - MSC-60K25
M3 - Report
T3 - Memorandum
BT - Managing the overflow of intensive care patients
PB - University of Twente
CY - Enschede
ER -