{"title":"医疗保健云系统风险分析和建模:一种公平的方法——以AWS上的Arterys™为例研究","authors":"Mariam Traore, Shuichiro Yamamoto","doi":"10.1109/IIAI-AAI.2018.00171","DOIUrl":null,"url":null,"abstract":"This study is an informative case and aims to verify the adaptation of the FAIR method for healthcare CloudEcosystem, this paper presents a case study example of a medical cloud platform, but also the representations of risk information with enterprise architecture modeling tool: ArchiMate. Today, there is an increasing method and framework for analyzing risks, but these frameworks may not meet the needs of new advances in information technology; FAIR is one of those frameworks. The purpose of this paper is to answer these needs by verifying the applicability of FAIR with simple insights between risks and risk actors to enable enterprises to have a better choice in risk analysis in their IT architecture.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Healthcare CloudEcosystem Risk Analysis and Modeling: A FAIR Approach—A Case Study of Arterys ™ on AWS\",\"authors\":\"Mariam Traore, Shuichiro Yamamoto\",\"doi\":\"10.1109/IIAI-AAI.2018.00171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study is an informative case and aims to verify the adaptation of the FAIR method for healthcare CloudEcosystem, this paper presents a case study example of a medical cloud platform, but also the representations of risk information with enterprise architecture modeling tool: ArchiMate. Today, there is an increasing method and framework for analyzing risks, but these frameworks may not meet the needs of new advances in information technology; FAIR is one of those frameworks. The purpose of this paper is to answer these needs by verifying the applicability of FAIR with simple insights between risks and risk actors to enable enterprises to have a better choice in risk analysis in their IT architecture.\",\"PeriodicalId\":309975,\"journal\":{\"name\":\"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"134 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI.2018.00171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2018.00171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Healthcare CloudEcosystem Risk Analysis and Modeling: A FAIR Approach—A Case Study of Arterys ™ on AWS
This study is an informative case and aims to verify the adaptation of the FAIR method for healthcare CloudEcosystem, this paper presents a case study example of a medical cloud platform, but also the representations of risk information with enterprise architecture modeling tool: ArchiMate. Today, there is an increasing method and framework for analyzing risks, but these frameworks may not meet the needs of new advances in information technology; FAIR is one of those frameworks. The purpose of this paper is to answer these needs by verifying the applicability of FAIR with simple insights between risks and risk actors to enable enterprises to have a better choice in risk analysis in their IT architecture.
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