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Towards an Advanced Computing Solution for Hospital Management Using Discrete Event Simulation
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Abstract
An important area in healthcare is hospital management, particularly regarding access, demand and resource management in hospitals. Access (the capability of providing care to patients in a timeous manner), demand (the community’s need for care exacted upon health services), and effective and efficient management of hospital resources are continual difficulties affecting patients. The ramifications of this include long emergency waits, extended periods on procedural waiting lists and cancelled surgical procedures. Hospital managers face the onerous task of building and supporting knowledge bases in several dimensions, including clinical and managerial dimensions. Although knowledge bases exist in the clinical domain, there is no such knowledge base in the domain of hospital management, and no work exists that incorporates both these perspectives. This paper describes a framework and mechanism where knowledge bases for hospital managers can be developed and applied to hospital management. To increase short-term operational utility of the framework, the system in this paper needs extension because large amounts of generated data need to be processed to provide managers with relevant visualisations assisting them in management. In order to process these large quantities of data in an extremely short amount of time, to support quick decision-making, advanced computing is absolutely necessary.
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