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. 2015 Oct;21(4):307-14.
doi: 10.4258/hir.2015.21.4.307. Epub 2015 Oct 31.

Chronic Heart Failure Follow-up Management Based on Agent Technology

Niloofar Mohammadzadeh  1 , Reza Safdari  1
Affiliations

Chronic Heart Failure Follow-up Management Based on Agent Technology

Niloofar Mohammadzadeh et al. Healthc Inform Res. 2015 Oct.

Abstract

Objectives: Monitoring heart failure patients through continues assessment of sign and symptoms by information technology tools lead to large reduction in re-hospitalization. Agent technology is one of the strongest artificial intelligence areas; therefore, it can be expected to facilitate, accelerate, and improve health services especially in home care and telemedicine. The aim of this article is to provide an agent-based model for chronic heart failure (CHF) follow-up management.

Methods: This research was performed in 2013-2014 to determine appropriate scenarios and the data required to monitor and follow-up CHF patients, and then an agent-based model was designed.

Results: Agents in the proposed model perform the following tasks: medical data access, communication with other agents of the framework and intelligent data analysis, including medical data processing, reasoning, negotiation for decision-making, and learning capabilities.

Conclusions: The proposed multi-agent system has ability to learn and thus improve itself. Implementation of this model with more and various interval times at a broader level could achieve better results. The proposed multi-agent system is no substitute for cardiologists, but it could assist them in decision-making.

Keywords: Artificial Intelligence; Health Information Systems; Heart Failure; Multi-agent Systems.

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Conflict of interest statement

Conflict of Interest: No potential conflict of interest relevant to this article was reported.

Figures

Figure 1
Figure 1. Proposed scenario for follow-up chronic heart failure (CHF) plotted with Mindjet MindManager 8.
Figure 2
Figure 2. Proposed architecture for chronic heart failure follow-up management based on agent.
See this image and copyright information in PMC

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