{"title":"FRAMEWORK ARCHITECTURE FOR IMPROVING HEALTHCARE INFORMATION SYSTEMS USING AGENT TECHNOLOGY","authors":"H. Al-Sakran","doi":"10.5121/IJMIT.2015.7102","DOIUrl":null,"url":null,"abstract":"Due to diversity, heterogeneity and complexity of the existing healthcare structure, providing suitable healthcare services is a complicated process. This work describes the conceptual design of an e-healthcare system, which implements integration strategies and suitable technologies that will handle the interoperability problem among its essential components. The proposed solution combines intelligent agent technology and case based reasoning for highly distributed applications in healthcare environment. Intelligent agents play a critical role in providing correct information for diagnostic, treatment, etc. They work on behalf of human agents taking care of routine tasks, thus increasing speed and reliability of the information exchanges. CBR is used to generate advices to a certain e-healthcare problems by analyzing solutions given to previously solved problems and to build intelligent systems for disease diagnostics and prognosis. Preliminary experimental simulation based on Agent Development Framework (JADE) demonstrated the feasibility of this model.","PeriodicalId":335930,"journal":{"name":"International Journal of Managing Information Technology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Managing Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJMIT.2015.7102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Due to diversity, heterogeneity and complexity of the existing healthcare structure, providing suitable healthcare services is a complicated process. This work describes the conceptual design of an e-healthcare system, which implements integration strategies and suitable technologies that will handle the interoperability problem among its essential components. The proposed solution combines intelligent agent technology and case based reasoning for highly distributed applications in healthcare environment. Intelligent agents play a critical role in providing correct information for diagnostic, treatment, etc. They work on behalf of human agents taking care of routine tasks, thus increasing speed and reliability of the information exchanges. CBR is used to generate advices to a certain e-healthcare problems by analyzing solutions given to previously solved problems and to build intelligent systems for disease diagnostics and prognosis. Preliminary experimental simulation based on Agent Development Framework (JADE) demonstrated the feasibility of this model.
由于现有医疗保健结构的多样性、异质性和复杂性，提供合适的医疗保健服务是一个复杂的过程。这项工作描述了电子医疗保健系统的概念设计，该系统实现了集成策略和合适的技术，这些策略和技术将处理其基本组件之间的互操作性问题。提出的解决方案将智能代理技术和基于案例的推理结合起来，用于医疗保健环境中高度分布式的应用程序。智能代理在为诊断、治疗等提供正确信息方面起着至关重要的作用。它们代表人类代理处理日常任务，从而提高了信息交换的速度和可靠性。CBR是通过分析已有问题的解决方案，生成针对特定电子医疗问题的建议，并构建疾病诊断和预后的智能系统。基于Agent Development Framework (JADE)的初步实验仿真验证了该模型的可行性。
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