Toward a multi-agent model for the care of patients at the emergency department
MAMECTIS'08 Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
A multi-agent medical system for Indian rural infant and child care
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Introducing intelligence in electronic healthcare systems: state of the art and future trends
Artificial intelligence
Implementing an Integrative Multi-agent Clinical Decision Support System with Open Source Software
Journal of Medical Systems
Expert Systems with Applications: An International Journal
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Within the confines of a Healthcare Enterprise Memory (HEM), most traditional medicalsystems do not sufficiently provide the necessary assistance to healthcare practitioners in thehandling of critical situations. Furthermore, localized knowledge repositories are often lackingthe required knowledge for problem solving. Therefore, in this paper, we present an agent-based knowledge broker called the Intelligent Healthcare Knowledge Assistant (IHKA) fordynamic knowledge gathering, filtering, adaptation and acquisition from a HEM comprisingan amalgamation of (i) databases storing empirical knowledge, (ii) case-bases storingexperiential knowledge, (iii) scenario-bases storing tacit knowledge and (iv) document-basesstoring explicit knowledge. The featured work leverages intelligent agent techniques forautonomous HEM-wide navigation, approximate content matching, inter-and intra-repositories content correlation, and knowledge adaptation and procurement to meet theuser's healthcare knowledge needs.