Agents that reduce work and information overload
Communications of the ACM
How might people interact with agents
Communications of the ACM
Using the Internet to improve knowledge diffusion in medicine
Communications of the ACM
Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
An intelligent personal spider (agent) for dynamic Internet/intranet searching
Decision Support Systems - Special issue: intranets and intranetworking
A proposal for an open DSS protocol
Communications of the ACM
Extracting focused knowledge from the semantic web
International Journal of Human-Computer Studies
Matching records in a national medical patient index
Communications of the ACM
Security issues for implementation of e-medical records
Communications of the ACM
Knowledge Management Handbook
Searching and Researching on the Internet and the World Wide Web
Searching and Researching on the Internet and the World Wide Web
Intelligent Software Agents: Foundations and Applications
Intelligent Software Agents: Foundations and Applications
Constructing Intelligent Agents Using Java
Constructing Intelligent Agents Using Java
Examining the technology acceptance model using physician acceptance of telemedicine technology
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Auction advisor: an agent-based online-auction decision support system
Decision Support Systems
Why software agents can be effective in biomedical sciences
Multiagent and Grid Systems - Multi-agent systems for medicine, computational biology, and bioinformatics
Auction Advisor: an agent-based online-auction decision support system
Decision Support Systems
A Unified Architecture for Biomedical Search Engines Based on Semantic Web Technologies
Journal of Medical Systems
Journal of Organizational and End User Computing
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Information that is available on the world wide web (WWW) is already more vast than can be comprehensibly studied by individuals and this quantity is increasing at a staggering pace. The quality of service delivered by physicians is dependent on the availability of current information. The agent paradigm offers a means for enabling physicians to filter information and retrieve only information that is relevant to current patient treatments. As with many specialized domains, agent-based information retrieval in medical domains must satisfy several domain-dependent constraints. A multiple agent architecture is developed and described in detail to efficiently provide agent-based information retrieval from the WWW and other explicit information resources. A simulation of the proposed multiple agent architecture shows a 97% decrease in information overload and an 85% increase in information relevancy over existing meta-search tools (with even larger gains over standard search engines).