Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Analysis and Design of Multiagent Systems Using MAS-Common KADS
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
An Intelligent Agent-based Knowledge Broker for Enterprise-wide Healthcare Knowledge Procurement
CBMS '02 Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02)
Tropos: An Agent-Oriented Software Development Methodology
Autonomous Agents and Multi-Agent Systems
Brain Meets Brawn: Why Grid and Agents Need Each Other
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Provision of agent-based health care services
AI Communications
AI Communications - Agents Applied in Health Care
Integration of hospital data using agent technologies - A case study
AI Communications - Agents Applied in Health Care
A taxonomic description of computer-based clinical decision support systems
Journal of Biomedical Informatics
Grand challenges in clinical decision support
Journal of Biomedical Informatics
Web Services from an Agent Perspective
IEEE Intelligent Systems
O-MaSE: a customizable approach to developing multiagent development processes
AOSE'07 Proceedings of the 8th international conference on Agent-oriented software engineering VIII
A multi-agent system approach for monitoring the prescription of restricted use antibiotics
Artificial Intelligence in Medicine
Journal of Biomedical Informatics
Pattern Recognition Letters
ICWE'13 Proceedings of the 13th international conference on Web Engineering
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Clinical decision making is a complex multi-stage process. Decision support can play an important role at each stage of this process. At present, the majority of clinical decision support systems have been focused on supporting only certain stages. In this paper we present the design and implementation of MET3--a prototype multi-agent system providing an integrative decision support that spans over the entire decision making process. The system helps physicians with data collection, diagnosis formulation, treatment planning and finding supporting evidence. MET3 integrates with external hospital information systems via HL7 messages and runs on various computing platforms available at the point of care (e.g., tablet computers, mobile phones). Building MET3 required sophisticated and reliable software technologies. In the past decade the open source software movement has produced mature, stable, industrial strength software systems with a large user base. Therefore, one of the decisions that should be considered before developing or acquiring a decision support system is whether or not one could use open source technologies instead of proprietary ones. We believe MET3 shows that the answer to this question is positive.