{"title":"Groupware Design for Online Diagnosis Support","authors":"N. Cheaib, S. Otmane, K. Djemal, M. Mallem","doi":"10.1109/IPTA.2008.4743774","DOIUrl":null,"url":null,"abstract":"In this paper, we present a groupware model that is based on the integration of Web services technologies with software agents. The purpose is to design a collaborative environment in the context of CAD (computer-aided diagnosis), enabling doctors to collaborate together in order to achieve a proper diagnosis of patients' files, and this by dynamically integrating new functionalities as Web services into their application, without stopping the diagnosis process, and hence achieving an efficient treatment. Our work is motivated by the fact that a collaborative and dynamic system is still missing in the hospitalization environment, where very few work in the literature has been done that aims to tailor the services by end-users for a better diagnosis process. We apply our model on the health care domain by providing a tailorable collaborative computer aided diagnosis.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 First Workshops on Image Processing Theory, Tools and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPTA.2008.4743774","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
In this paper, we present a groupware model that is based on the integration of Web services technologies with software agents. The purpose is to design a collaborative environment in the context of CAD (computer-aided diagnosis), enabling doctors to collaborate together in order to achieve a proper diagnosis of patients' files, and this by dynamically integrating new functionalities as Web services into their application, without stopping the diagnosis process, and hence achieving an efficient treatment. Our work is motivated by the fact that a collaborative and dynamic system is still missing in the hospitalization environment, where very few work in the literature has been done that aims to tailor the services by end-users for a better diagnosis process. We apply our model on the health care domain by providing a tailorable collaborative computer aided diagnosis.