Healthc Inform Res.  2015 Oct;21(4):307-314. 10.4258/hir.2015.21.4.307.

Chronic Heart Failure Follow-up Management Based on Agent Technology

• Mohammadzadeh N
• Safdari R

• KMID: 2166881
• DOI: http://doi.org/10.4258/hir.2015.21.4.307

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.

Keyword

Health Information Systems; Heart Failure; Artificial Intelligence; Multi-agent Systems

MeSH Terms

Artificial Intelligence
Follow-Up Studies*
Health Information Systems
Health Services
Heart Failure*
Heart*
Home Care Services
Humans
Learning
Negotiating
Statistics as Topic
Telemedicine

Figure

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  Figure 1 Proposed scenario for follow-up chronic heart failure (CHF) plotted with Mindjet MindManager 8.

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  Figure 2 Proposed architecture for chronic heart failure follow-up management based on agent.

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