{"title":"Donabedian Approach for Simulation Modeling to Evaluate the Quality of Emergency Medical Services in a Large Metropolitan Area: A Case Study","authors":"S. V. Begicheva","doi":"10.1109/AICT50176.2020.9368653","DOIUrl":null,"url":null,"abstract":"This study was carried out in order to develop a simulation model for a complex assessment of the quality of emergency medical services in a large metropolitan area. The study methods are based on the Donabedian model, a conceptual model that provides a framework for evaluating the quality of health care and emergency medical services. According to the Donabedian model, information about the quality of care can be drawn from three categories: the quality of structure, the quality of the process, and the quality of outcomes. The fourth category — environmental quality — is proposed to be added to the model in order to consider the specifics of emergency medical services in a large metropolitan area. The proposed conceptual model for the quality of emergency medical services defines the approach to emergency medical services modeling, i.e. creating a set of submodels that would allow assessing all the quality categories for emergency medical services. The paper includes a case study for such a model that combines methods from system dynamics and agent-based modeling. The study results can be used for health care institution modeling in order to lay down recommendations regarding how the health care institution management strategy can be improved.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT50176.2020.9368653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study was carried out in order to develop a simulation model for a complex assessment of the quality of emergency medical services in a large metropolitan area. The study methods are based on the Donabedian model, a conceptual model that provides a framework for evaluating the quality of health care and emergency medical services. According to the Donabedian model, information about the quality of care can be drawn from three categories: the quality of structure, the quality of the process, and the quality of outcomes. The fourth category — environmental quality — is proposed to be added to the model in order to consider the specifics of emergency medical services in a large metropolitan area. The proposed conceptual model for the quality of emergency medical services defines the approach to emergency medical services modeling, i.e. creating a set of submodels that would allow assessing all the quality categories for emergency medical services. The paper includes a case study for such a model that combines methods from system dynamics and agent-based modeling. The study results can be used for health care institution modeling in order to lay down recommendations regarding how the health care institution management strategy can be improved.