Statistical analysis of patients' characteristics in neonatal intensive care units.
The staff in the neonatal intensive care units is required to have highly specialized training and the using equipment in this unit is so expensive. The random number of arrivals, the rejections or transfers due to lack of capacity and the random length of stays, make the advance knowledge of the optimal staff; equipment and materials requirement for levels of the unit behaves as a stochastic process. In this paper, the number of arrivals, the rejections or transfers due to lack of capacity and the random length of stays in a neonatal intensive care unit of a university hospital has been statistically analyzed. The arrival patients are classified according to the levels based on the required nurse: patient ratio and gestation age. Important knowledge such as arrivals, transfers, gender and length of stays are analyzed. Finally, distribution functions for patients' arrivals, rejections and length of stays are obtained for each level in the unit.
Kokangul
Ali
A
Department of Industrial Engineering, Cukurova University, Adana, Turkey. kokangul@cu.edu.tr
Ozkan
Ayfer
A
Akcan
Serap
S
Ozcan
Kenan
K
Narli
Mufide
M
D003627:Data Interpretation, Statistical; D005260:Female; D005865:Gestational Age; D006304:Health Status; D006801:Humans; D007231:Infant, Newborn; D007363:Intensive Care Units, Neonatal / Q000706:statistics & numerical data*; D015931:Intensive Care, Neonatal / Q000706:statistics & numerical data*; D007902:Length of Stay; D008297:Male; D016012:Poisson Distribution; D017678:Sex Distribution