{"title":"用于医疗保健中主动风险管理的数据管理模型","authors":"D. Meshkov, L. Bezmelnitsyna, S. Cherkasov","doi":"10.25728/ASSA.2020.20.1.864","DOIUrl":null,"url":null,"abstract":"The Delphi investigation made possible to create and present a model of data flows and expertise for decision - making in healthcare. The model structures and visualizes data flows including population health risks assessment and healthcare interventions value. Most elements of this model are used in practice and are regulated by international or local documents. The investigation also indicates the need for the creation and utilization of additional level of expertise including integrated analysis and modeling of the results of management decisions. Structuring of data management in accordance with this model provides an opportunity to implement proactive risk management in healthcare there to increase healthcare effectiveness significantly.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"20 1","pages":"114-118"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Data Management Model for Proactive Risk Management in Healthcare\",\"authors\":\"D. Meshkov, L. Bezmelnitsyna, S. Cherkasov\",\"doi\":\"10.25728/ASSA.2020.20.1.864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Delphi investigation made possible to create and present a model of data flows and expertise for decision - making in healthcare. The model structures and visualizes data flows including population health risks assessment and healthcare interventions value. Most elements of this model are used in practice and are regulated by international or local documents. The investigation also indicates the need for the creation and utilization of additional level of expertise including integrated analysis and modeling of the results of management decisions. Structuring of data management in accordance with this model provides an opportunity to implement proactive risk management in healthcare there to increase healthcare effectiveness significantly.\",\"PeriodicalId\":39095,\"journal\":{\"name\":\"Advances in Systems Science and Applications\",\"volume\":\"20 1\",\"pages\":\"114-118\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Systems Science and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25728/ASSA.2020.20.1.864\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Systems Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25728/ASSA.2020.20.1.864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
A Data Management Model for Proactive Risk Management in Healthcare
The Delphi investigation made possible to create and present a model of data flows and expertise for decision - making in healthcare. The model structures and visualizes data flows including population health risks assessment and healthcare interventions value. Most elements of this model are used in practice and are regulated by international or local documents. The investigation also indicates the need for the creation and utilization of additional level of expertise including integrated analysis and modeling of the results of management decisions. Structuring of data management in accordance with this model provides an opportunity to implement proactive risk management in healthcare there to increase healthcare effectiveness significantly.
期刊介绍：
Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
