TY - JOUR
T1 - Time-dependent analysis for refused admissions in clinical wards
AU - Bekker, R.
AU - de Bruin, A.M.
PY - 2010
Y1 - 2010
N2 - For capacity planning issues in health care, such as the allocation of hospital beds, the admissions rate of patients is commonly assumed to be constant over time. In addition to the purely random fluctuations, there is also typically a predictable pattern in the number of arriving patients. For example, roughly 2/3 of the admitted patients at an Intensive Care Unit arrives during office hours. Also, most of the scheduled admissions occur during weekdays instead of during the weekend. Using approximations based on the infinite-server queue, we analyze an M
AB - For capacity planning issues in health care, such as the allocation of hospital beds, the admissions rate of patients is commonly assumed to be constant over time. In addition to the purely random fluctuations, there is also typically a predictable pattern in the number of arriving patients. For example, roughly 2/3 of the admitted patients at an Intensive Care Unit arrives during office hours. Also, most of the scheduled admissions occur during weekdays instead of during the weekend. Using approximations based on the infinite-server queue, we analyze an M
U2 - 10.1007/s10479-009-0570-z
DO - 10.1007/s10479-009-0570-z
M3 - Article
JO - Annals of Operations Research
JF - Annals of Operations Research
SN - 0254-5330
ER -
