{"title":"使用离散事件模拟的医疗保健需求和能力建模","authors":"Saurav Singla","doi":"10.4236/ojmsi.2020.84007","DOIUrl":null,"url":null,"abstract":"The NHS is right now confronting huge pressures \nrelating to demand and capacity in radiology. The purpose of this research has \nbeen to provide information about MRI usage, details of operational aspects of \nMRI services, and to ascertain the planning intentions of NHS radiology \nservices to keep up and create MRI capacity. The report expands on using \nDiscrete Event Simulation (DES) to inspect and plan the utilisation of NHS \nhospital resources for the radiology department to help a 24 hr service that is \navailable to outpatients which will help with diminishing patient waiting time, \nbetter resource usage, understanding the capacity and demand. Consequently, \nthis research examines to adjust staff and resources with the demand of the \nMRI. The research was investigated using DES in various scenarios to find which \nresources are inactive; patients are treated slowly. DES helped in discovering \nresource utilisation and outpatient throughout the system. It additionally \nhelped in distinguishing the bottlenecks in patient flow. The DES simulation \nresults demonstrated that time for the outpatient in the system is less and \nmore outpatients have been treated too. There is a higher level of outpatient \npatients leaving the system under 120 minutes. The report uncovered an MRI \nreport interpretation time. Reception room time and MRI waiting room time are decreased \nsignificantly. It additionally exhibited with an expanded outflow of \noutpatients, resources, for example, MRI capacity and radiographer utilisation \nexpanded.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Demand and Capacity Modelling in Healthcare Using Discrete Event Simulation\",\"authors\":\"Saurav Singla\",\"doi\":\"10.4236/ojmsi.2020.84007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The NHS is right now confronting huge pressures \\nrelating to demand and capacity in radiology. The purpose of this research has \\nbeen to provide information about MRI usage, details of operational aspects of \\nMRI services, and to ascertain the planning intentions of NHS radiology \\nservices to keep up and create MRI capacity. The report expands on using \\nDiscrete Event Simulation (DES) to inspect and plan the utilisation of NHS \\nhospital resources for the radiology department to help a 24 hr service that is \\navailable to outpatients which will help with diminishing patient waiting time, \\nbetter resource usage, understanding the capacity and demand. Consequently, \\nthis research examines to adjust staff and resources with the demand of the \\nMRI. The research was investigated using DES in various scenarios to find which \\nresources are inactive; patients are treated slowly. DES helped in discovering \\nresource utilisation and outpatient throughout the system. It additionally \\nhelped in distinguishing the bottlenecks in patient flow. The DES simulation \\nresults demonstrated that time for the outpatient in the system is less and \\nmore outpatients have been treated too. There is a higher level of outpatient \\npatients leaving the system under 120 minutes. The report uncovered an MRI \\nreport interpretation time. Reception room time and MRI waiting room time are decreased \\nsignificantly. It additionally exhibited with an expanded outflow of \\noutpatients, resources, for example, MRI capacity and radiographer utilisation \\nexpanded.\",\"PeriodicalId\":56990,\"journal\":{\"name\":\"建模与仿真(英文)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"建模与仿真(英文)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.4236/ojmsi.2020.84007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"建模与仿真(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/ojmsi.2020.84007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Demand and Capacity Modelling in Healthcare Using Discrete Event Simulation
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 to outpatients which will help with diminishing patient waiting time,
better resource usage, understanding the capacity and demand. Consequently,
this research examines to adjust staff and resources with the demand of the
MRI. The research was investigated using DES in various scenarios to find which
resources are inactive; patients are treated slowly. DES helped in discovering
resource utilisation and outpatient throughout the system. It additionally
helped in distinguishing the bottlenecks in patient flow. The DES simulation
results demonstrated that time for the outpatient in the system is less and
more outpatients have been treated too. There is a higher level of outpatient
patients leaving the system under 120 minutes. The report uncovered an MRI
report interpretation time. Reception room time and MRI waiting room time are decreased
significantly. It additionally exhibited with an expanded outflow of
outpatients, resources, for example, MRI capacity and radiographer utilisation
expanded.