{"title":"Privacy Access Control Model for Aggregated e-Health Services","authors":"P. Hung, Yi Zheng","doi":"10.1109/EDOCW.2007.24","DOIUrl":null,"url":null,"abstract":"Information privacy typically concerns the confidentiality of personal identifiable information (PII) and protected health information (PHI) such as electronic medical records. Thus, the information access control mechanism for e-health services must be embedded with privacy-enhancing technologies. Role-based access control (RBAC) model has been widely investigated and applied to various applications for a period of time. This paper presents an extended framework of RBAC with privacy-based extensions to tackle such a need. With the context of e-health care informatics, this paper proposes an aggregation decision-making layer interacted with a set of autonomous RBAC models to aggregate PHI.","PeriodicalId":181454,"journal":{"name":"2007 Eleventh International IEEE EDOC Conference Workshop","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Eleventh International IEEE EDOC Conference Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDOCW.2007.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
Information privacy typically concerns the confidentiality of personal identifiable information (PII) and protected health information (PHI) such as electronic medical records. Thus, the information access control mechanism for e-health services must be embedded with privacy-enhancing technologies. Role-based access control (RBAC) model has been widely investigated and applied to various applications for a period of time. This paper presents an extended framework of RBAC with privacy-based extensions to tackle such a need. With the context of e-health care informatics, this paper proposes an aggregation decision-making layer interacted with a set of autonomous RBAC models to aggregate PHI.