2015
DOI: 10.1007/s10729-015-9320-8
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Optimal control of ICU patient discharge: from theory to implementation

Abstract: This paper deals with the management of scarce health care resources. We consider a control problem in which the objective is to minimize the rate of patient rejection due to service saturation. The scope of decisions is limited, in terms both of the amount of resources to be used, which are supposed to be fixed, and of the patient arrival pattern, which is assumed to be uncontrollable. This means that the only potential areas of control are speed or completeness of service. By means of queuing theory and opti… Show more

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Cited by 17 publications
(13 citation statements)
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“…The need to face aging population and chronic diseases with, on the one hand, innovative but more expensive health technologies and, on the other hand, with specialized but with higher salaries health professionals is mining the sustainability over time of the national healthcare systems as we know them nowadays [1,2]. Health professionals and scholars of different disciplnes such as health care management science, health policy and innovation management are dealing with a variety of strategies and initiatives for modernizing care delivery.…”
Section: Introductionmentioning
confidence: 99%
“…The need to face aging population and chronic diseases with, on the one hand, innovative but more expensive health technologies and, on the other hand, with specialized but with higher salaries health professionals is mining the sustainability over time of the national healthcare systems as we know them nowadays [1,2]. Health professionals and scholars of different disciplnes such as health care management science, health policy and innovation management are dealing with a variety of strategies and initiatives for modernizing care delivery.…”
Section: Introductionmentioning
confidence: 99%
“…The results could be provided to hospital managers for future hospital bed expansion planning reference. Mallor et al [ 50 ] analyzed the performance of different patient treatment times based on different dispatching rules, and then compared the advantages and disadvantages of mathematic and simulation results according to the examination room data.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It is certainly very difficult to create models for the decision making applied by physicians from the recorded data. In fact, many researchers approach this modelling problem from a normative point of view suggesting parameterized models that indicate how physicians' decisions should be made and then calibrating or Garcia-Vicuña, Mallor, Esparza, and Mateo optimizing the model parameters (Kim et al 2000;Griffiths et al 2013;Mallor et al 2015;Mallor et al 2016). There are also some studies (Ridge et al 1998) in which early discharge is suggested as a bed management tool, but they are not explicitly modelled.…”
Section: Related Workmentioning
confidence: 99%