Abdul Razaque, Muder Almiani, Bandar Alotaibi, M. Alotaibi, Mohammed Alweshah
{"title":"Novel File-Checksum Method for Data Duplication Removal of Patients","authors":"Abdul Razaque, Muder Almiani, Bandar Alotaibi, M. Alotaibi, Mohammed Alweshah","doi":"10.1109/SDS54264.2021.9732163","DOIUrl":null,"url":null,"abstract":"Nowadays, with rapid technology development, individuals have become capable of storing a large amount of information in virtual storage. Even medical organizations use virtual repositories to store important patient data, including personal data, medical histories, and records for medical services. With the database, medical organizations process the available data and take measures to improve the quality of services. When processing statistical and customer review information, there may be inaccuracies due to duplication of patient data. Duplication of data usually occurs through the mistakes of staff members. In this paper, we introduce a novel checksum method for data duplication (CMDD). The checksum method is implemented using Java Platform. Based on the testing results, we are capable of handling data duplication.","PeriodicalId":394607,"journal":{"name":"2021 Eighth International Conference on Software Defined Systems (SDS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Eighth International Conference on Software Defined Systems (SDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SDS54264.2021.9732163","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
Nowadays, with rapid technology development, individuals have become capable of storing a large amount of information in virtual storage. Even medical organizations use virtual repositories to store important patient data, including personal data, medical histories, and records for medical services. With the database, medical organizations process the available data and take measures to improve the quality of services. When processing statistical and customer review information, there may be inaccuracies due to duplication of patient data. Duplication of data usually occurs through the mistakes of staff members. In this paper, we introduce a novel checksum method for data duplication (CMDD). The checksum method is implemented using Java Platform. Based on the testing results, we are capable of handling data duplication.