{"title":"Sanitization of medical documents using medical support system","authors":"R. Pratheeka, L. Sharmila","doi":"10.1109/ICRTIT.2014.6996173","DOIUrl":null,"url":null,"abstract":"Documents are becoming more informative and in emerging world, sensitive information from documents which is shared to any community over electronic network has to be periodically redacted to preserve highly confidential and sensitive information from the access of open users who have access to the documents. However, accurate data hiding is difficult, it is often time consuming process to black out all the sensitive term. Sanitization techniques can be applied to all heterogeneous textual data to manage it comprehensively and precisely. Automated report generation based on templates is made possible by template based execution. To realize efficiency, Sanitization is performed on documents at two levels 1) while at the time of storing it. 2) while delivering to the user to ensure effective utilization of memory space. This system also incorporates doctor - patient mailing features, health calculators, medicine suggestions, doctor portfolios, reports and a scheduler which removes un-necessary data (documents) on timely basis, which takes this Medical Support System approach to design a practical / procedural algorithm for data sanitization.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"197 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Recent Trends in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2014.6996173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Documents are becoming more informative and in emerging world, sensitive information from documents which is shared to any community over electronic network has to be periodically redacted to preserve highly confidential and sensitive information from the access of open users who have access to the documents. However, accurate data hiding is difficult, it is often time consuming process to black out all the sensitive term. Sanitization techniques can be applied to all heterogeneous textual data to manage it comprehensively and precisely. Automated report generation based on templates is made possible by template based execution. To realize efficiency, Sanitization is performed on documents at two levels 1) while at the time of storing it. 2) while delivering to the user to ensure effective utilization of memory space. This system also incorporates doctor - patient mailing features, health calculators, medicine suggestions, doctor portfolios, reports and a scheduler which removes un-necessary data (documents) on timely basis, which takes this Medical Support System approach to design a practical / procedural algorithm for data sanitization.