Parametric modeling of the hospital activity applied to the simulation of patients in waiting-list

Giraldo, Beatriz F.; Martinez, Pol; Caminal, P.

doi:10.1109/iembs.2000.900611

Cited by 1 publication

(1 citation statement)

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“…This offered useful insight into the system's operating characteristics. 12 Chang combined data envelopment analysis with regression analysis to evaluate hospital efficiency, as a function, to a number of hospital operating characteristics. 13 It is possible to create a generic hospital model by specifying the hospital characteristics, although hospitals vary in size and capability.…”

Section: Regression and Parametric Modelsmentioning

confidence: 99%

Transient Modeling in Simulation of Hospital Operations for Emergency Response

Paul

George

et al. 2006

Prehosp. Disaster med.

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Rapid estimates of hospital capacity after an event that may cause a disaster can assist disaster-relief efforts. Due to the dynamics of hospitals, following such an event, it is necessary to accurately model the behavior of the system. A transient modeling approach using simulation and exponential functions is presented, along with its applications in an earthquake situation. The parameters of the exponential model are regressed using outputs from designed simulation experiments. The developed model is capable of representing transient, patient waiting times during a disaster. Most importantly, the modeling approach allows real-time capacity estimation of hospitals of various sizes and capabilities. Further, this research is an analysis of the effects of priority-based routing of patients within the hospital and the effects on patient waiting times determined using various patient mixes. The model guides the patients based on the severity of injuries and queues the patients requiring critical care depending on their remaining survivability time. The model also accounts the impact of prehospital transport time on patient waiting time.

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Section: Regression and Parametric Modelsmentioning

confidence: 99%