{"title":"iPAT: Intelligent privacy-preserving administration tool for IRB applications","authors":"Ya-Ling Chen, Hsueh-Lin Chen, Chia-I Lin, Bo-Chao Cheng, Guo-Tan Liao, Ting-Chun Yin, Kuo-Yang Hung","doi":"10.1109/HealthCom.2012.6379470","DOIUrl":null,"url":null,"abstract":"Supported by maturing information and communication technology (ICT) technologies, the medical care industry entered its digitization age. However, medical information is highly confidential and involves privacy; even legitimate access can cause privacy infringements. Under the current medical administration system, no established application systems conform to the IRB (Institutional review board) to protect privacy in human subject research. To prevent the privacy of research subjects from being disclosed unintentionally, and to meet the “need-to-know” demands of information management, this study proposes an intelligent privacy-preserving administration tool (iPAT) designed to facilitate human subject research. This study provides the principle and feasibility of iPAT that are introduced and verified through a use case conducted by the head of the research project.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HealthCom.2012.6379470","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
Supported by maturing information and communication technology (ICT) technologies, the medical care industry entered its digitization age. However, medical information is highly confidential and involves privacy; even legitimate access can cause privacy infringements. Under the current medical administration system, no established application systems conform to the IRB (Institutional review board) to protect privacy in human subject research. To prevent the privacy of research subjects from being disclosed unintentionally, and to meet the “need-to-know” demands of information management, this study proposes an intelligent privacy-preserving administration tool (iPAT) designed to facilitate human subject research. This study provides the principle and feasibility of iPAT that are introduced and verified through a use case conducted by the head of the research project.