2020
DOI: 10.4236/ojmsi.2020.84007
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Demand and Capacity Modelling in Healthcare Using Discrete Event Simulation

Abstract: The NHS is right now confronting huge pressures relating to demand and capacity in radiology. The purpose of this research has been to provide information about MRI usage, details of operational aspects of MRI services, and to ascertain the planning intentions of NHS radiology services to keep up and create MRI capacity. The report expands on using Discrete Event Simulation (DES) to inspect and plan the utilisation of NHS hospital resources for the radiology department to help a 24 hr service that is available… Show more

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Cited by 6 publications
(2 citation statements)
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“…e system can then examine this data to identify areas where there is room for development and pass them on to the appropriate doctors. Several hospitals use AI to predict the number of patients to the emergency department two or three days in advance, allowing them to take proactive action in staffing and resource allocation [141][142][143]. Also, [144] examined the difficulties and prospects for hospitals to integrate AI into strategic planning and become intelligent systems with feedback-controlled operations and procedures (closedloop systems).…”
Section: Artificial Intelligence (Ai)mentioning
confidence: 99%
“…e system can then examine this data to identify areas where there is room for development and pass them on to the appropriate doctors. Several hospitals use AI to predict the number of patients to the emergency department two or three days in advance, allowing them to take proactive action in staffing and resource allocation [141][142][143]. Also, [144] examined the difficulties and prospects for hospitals to integrate AI into strategic planning and become intelligent systems with feedback-controlled operations and procedures (closedloop systems).…”
Section: Artificial Intelligence (Ai)mentioning
confidence: 99%
“…In DES, individuals possess given attributes, such as age, sex and disease complexity, which influence their way through the simulation and the time staying between events. DES has been used by many authors for the planning of future expansion and integration [19], and giving different paths to patients has good results to the hospital administration decision maker's in term of cost effectiveness [20] [21], also it gives best ways to saving patients' health.…”
Section: Discrete Event Simulationmentioning
confidence: 99%