Mohammadzadeh Niloofar, Safdari Reza, Rahimi Azin
Department of Health Information Management, Tehran University of Medical Sciences, Tehran, Iran.
Healthc Inform Res. 2013 Sep;19(3):162-6. doi: 10.4258/hir.2013.19.3.162. Epub 2013 Sep 30.
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.
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.
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.
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.
鉴于慢性心力衰竭(CHF)患者随访对于减少再入院常见原因以及病情恶化的重要性,而这些会给患者和社会带来精神和身体上的负担,应充分利用现代技术工具。本文旨在阐述在设计合适的多智能体系统以改善CHF管理时应考虑的关键点。
在本综述中,在科学Direct、谷歌学术和PubMed数据库中使用多智能体系统、心力衰竭、慢性病管理等关键词搜索文章,不考虑发表年份。
智能体是人工智能领域的一项创新。由于智能体能够解决复杂和动态的健康问题,为充分利用电子健康,医疗系统必须采取措施利用这项技术。通过多智能体系统方法进行CHF管理时,必须考虑关键因素,如一般方面的组织、保密性以及特定方面的设计和架构要点。
请注意,仅从技术角度使用智能体系统会带来许多问题。因此,在为CHF患者提供医疗服务时,考虑社会和人文方面至关重要。显然,识别和解决技术和非技术挑战对于成功实施这项技术至关重要。