{"title":"Online diagnosis e-health system for all, based on advanced web accessible database technologies","authors":"P. Mitrea, Cristina Deak","doi":"10.1504/IJKWI.2011.038629","DOIUrl":null,"url":null,"abstract":"Health literacy is the basic pre-requisite for a well and healthy life. More than 80% of the everyday ailments can be handled by the patients themselves. However, when symptoms appear, it is often difficult for them to make the right decision, whether a health professional has to be seen or self care is still safe. This paper's objectives are to describe and design a design for all (DFA) principles based web solution for a system that guides the user through a symptom-orientated process of medical history, taking in order to determine a diagnosis. The specific questions and answers are analysed applying a highly sophisticated medical rules-engine. After the analysis, the online medical system (OLMS) presents arguments to the user, which either indicate, that it is still appropriate to self care, or recommend to see a health professional within a defined timeframe. Moreover, OLMS suggests what would be best to do in the user's specific situation.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Knowl. Web Intell.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJKWI.2011.038629","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
Health literacy is the basic pre-requisite for a well and healthy life. More than 80% of the everyday ailments can be handled by the patients themselves. However, when symptoms appear, it is often difficult for them to make the right decision, whether a health professional has to be seen or self care is still safe. This paper's objectives are to describe and design a design for all (DFA) principles based web solution for a system that guides the user through a symptom-orientated process of medical history, taking in order to determine a diagnosis. The specific questions and answers are analysed applying a highly sophisticated medical rules-engine. After the analysis, the online medical system (OLMS) presents arguments to the user, which either indicate, that it is still appropriate to self care, or recommend to see a health professional within a defined timeframe. Moreover, OLMS suggests what would be best to do in the user's specific situation.