Suppr超能文献

多智能体系统作为有效管理慢性心力衰竭的新方法:关键考量因素

Multi-agent system as a new approach to effective chronic heart failure management: key considerations.

作者信息

Mohammadzadeh Niloofar, Safdari Reza, Rahimi Azin

机构信息

Department of Health Information Management, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Healthc Inform Res. 2013 Sep;19(3):162-6. doi: 10.4258/hir.2013.19.3.162. Epub 2013 Sep 30.

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.

摘要

目的

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。

方法

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。

结果

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。

结论

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。

相似文献

1
Multi-agent system as a new approach to effective chronic heart failure management: key considerations.
Healthc Inform Res. 2013 Sep;19(3):162-6. doi: 10.4258/hir.2013.19.3.162. Epub 2013 Sep 30.
2
Chronic Heart Failure Follow-up Management Based on Agent Technology.
Healthc Inform Res. 2015 Oct;21(4):307-14. doi: 10.4258/hir.2015.21.4.307. Epub 2015 Oct 31.
3
Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
Phys Biol. 2013 Aug;10(4):040301. doi: 10.1088/1478-3975/10/4/040301. Epub 2013 Aug 2.
4
Patient monitoring in mobile health: opportunities and challenges.
Med Arch. 2014;68(1):57-60. doi: 10.5455/medarh.2014.68.57-60.
5
Multi-agent systems: effective approach for cancer care information management.
Asian Pac J Cancer Prev. 2013;14(12):7757-9. doi: 10.7314/apjcp.2013.14.12.7757.
7
[The German National Disease Management Guideline "Chronic Heart Failure"].
Dtsch Med Wochenschr. 2012 Feb;137(5):219-27. doi: 10.1055/s-0031-1292894. Epub 2012 Jan 25.
8
9
Cancer care management through a mobile phone health approach: key considerations.
Asian Pac J Cancer Prev. 2013;14(9):4961-4. doi: 10.7314/apjcp.2013.14.9.4961.
10
The future of Cochrane Neonatal.
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.

引用本文的文献

1
Internet of Things and healthcare system: A systematic review of ethical issues.
Health Sci Rep. 2022 Oct 3;5(6):e863. doi: 10.1002/hsr2.863. eCollection 2022 Nov.
2
MicroRNAs and Calcium Signaling in Heart Disease.
Int J Mol Sci. 2021 Sep 30;22(19):10582. doi: 10.3390/ijms221910582.
4
The Polymorphism in Decreases Transcriptional Activity and Influences the Chronic Heart Failure Risk in the Chinese.
Biomed Res Int. 2018 May 31;2018:4969385. doi: 10.1155/2018/4969385. eCollection 2018.
5
Value of Telemonitoring and Telemedicine in Heart Failure Management.
Card Fail Rev. 2017 Nov;3(2):116-121. doi: 10.15420/cfr.2017:6:2.
7
Chronic Heart Failure Follow-up Management Based on Agent Technology.
Healthc Inform Res. 2015 Oct;21(4):307-14. doi: 10.4258/hir.2015.21.4.307. Epub 2015 Oct 31.
8
Review of Social and Organizational Issues in Health Information Technology.
Healthc Inform Res. 2015 Jul;21(3):152-60. doi: 10.4258/hir.2015.21.3.152. Epub 2015 Jul 31.
9
Intelligent data analysis: the best approach for chronic heart failure (CHF) follow up management.
Acta Inform Med. 2014 Aug;22(4):263-7. doi: 10.5455/aim.2014.22.263-267. Epub 2014 Aug 21.
10
The adenosine deaminase gene polymorphism is associated with chronic heart failure risk in Chinese.
Int J Mol Sci. 2014 Aug 28;15(9):15259-71. doi: 10.3390/ijms150915259.

本文引用的文献

1
Information system success model for customer relationship management system in health promotion centers.
Healthc Inform Res. 2013 Jun;19(2):110-20. doi: 10.4258/hir.2013.19.2.110. Epub 2013 Jun 30.
2
Organizational issues in the implementation and adoption of health information technology innovations: an interpretative review.
Int J Med Inform. 2013 May;82(5):e73-86. doi: 10.1016/j.ijmedinf.2012.10.007. Epub 2012 Nov 9.
3
The adoption of electronic medical records and decision support systems in Korea.
Healthc Inform Res. 2011 Sep;17(3):172-7. doi: 10.4258/hir.2011.17.3.172. Epub 2011 Sep 30.
5
The implementation of electronic health records: a case study of bush computing the Ngaanyatjarra lands.
Int J Med Inform. 2011 Dec;80(12):841-8. doi: 10.1016/j.ijmedinf.2011.09.007. Epub 2011 Oct 15.
6
National questionnaire study on clinical ICT systems proofs: physicians suffer from poor usability.
Int J Med Inform. 2011 Oct;80(10):708-25. doi: 10.1016/j.ijmedinf.2011.06.010. Epub 2011 Jul 23.
8
Factors that influence public engagement with eHealth: A literature review.
Int J Med Inform. 2011 Jan;80(1):1-12. doi: 10.1016/j.ijmedinf.2010.10.017. Epub 2010 Nov 26.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验