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KMID : 0603720150210040307
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Journal of Korean Society of Medical Informatics
2015 Volume.21 No. 4 p.307 ~ p.314
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Chronic Heart Failure Follow-up Management Based on Agent Technology
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:Mohammadzadeh Niloofar
:Safdari Reza
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Abstract
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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 followup 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.
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KEYWORD
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Health Information Systems, Heart Failure, Artificial Intelligence, Multi-agent Systems
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