Chronic Heart Failure Follow-up Management Based on Agent Technology.
10.4258/hir.2015.21.4.307
- Author:
Niloofar MOHAMMADZADEH
1
;
Reza SAFDARI
Author Information
1. Department of Health Information Management, Paramedical Faculty, Tehran University of Medical Sciences, Tehran, Iran. nmohammadzadeh@razi.tums.ac.ir
- Publication Type:Original Article
- Keywords:
Health Information Systems;
Heart Failure;
Artificial Intelligence;
Multi-agent Systems
- MeSH:
Artificial Intelligence;
Follow-Up Studies*;
Health Information Systems;
Health Services;
Heart Failure*;
Heart*;
Home Care Services;
Humans;
Learning;
Negotiating;
Statistics as Topic;
Telemedicine
- From:Healthcare Informatics Research
2015;21(4):307-314
- CountryRepublic of Korea
- Language:English
-
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.
