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Multi-Agent System as a New Approach to Effective Chronic Heart Failure Management: Key Considerations / 대한의료정보학회지
Article em En | WPRIM | ID: wpr-167422
Biblioteca responsável: WPRO
ABSTRACT
OBJECTIVES: Given the importance of the follow-up of chronic heart failure (CHF) patients to reduce common causes of re-admission and deterioration of their status that lead to imposing spiritual and physical costs on patients and society, modern technology tools should be used to the best advantage. The aim of this article is to explain key points which should be considered in designing an appropriate multi-agent system to improve CHF management. METHODS: In this literature review articles were searched with keywords like multi-agent system, heart failure, chronic disease management in Science Direct, Google Scholar and PubMed databases without regard to the year of publications. RESULTS: Agents are an innovation in the field of artificial intelligence. Because agents are capable of solving complex and dynamic health problems, to take full advantage of e-Health, the healthcare system must take steps to make use of this technology. Key factors in CHF management through a multi-agent system approach must be considered such as organization, confidentiality in general aspects and design and architecture points in specific aspects. CONCLUSIONS: Note that use of agent systems only with a technical view is associated with many problems. Hence, in delivering healthcare to CHF patients, considering social and human aspects is essential. It is obvious that identifying and resolving technical and non-technical challenges is vital in the successful implementation of this technology.
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Texto completo: 1 Índice: WPRIM Assunto principal: Inteligência Artificial / Doença Crônica / Seguimentos / Confidencialidade / Gerenciamento Clínico / Atenção à Saúde / Coração / Insuficiência Cardíaca / Imidazóis / Nitrocompostos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Healthcare Informatics Research Ano de publicação: 2013 Tipo de documento: Article
Texto completo: 1 Índice: WPRIM Assunto principal: Inteligência Artificial / Doença Crônica / Seguimentos / Confidencialidade / Gerenciamento Clínico / Atenção à Saúde / Coração / Insuficiência Cardíaca / Imidazóis / Nitrocompostos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Healthcare Informatics Research Ano de publicação: 2013 Tipo de documento: Article