Intelligent agents for patient monitoring and diagnostics

Authors:
Susan L. Mabry;Troy Schneringer;Timothy Etters;Naomi Edwards
Affiliations:
Whitworth College, Spokane, Washington;Whitworth College, Spokane, Washington;Whitworth College, Spokane, Washington;Whitworth College, Spokane, Washington
Venue:
Proceedings of the 2003 ACM symposium on Applied computing
Year:
2003

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Abstract

This paper describes Intelligent Monitor Agents (IM-Agents), a project that utilizes intelligent multiagents to assist patient health care. Clinicians must simultaneously audit and interpret an overwhelming amount of information regarding a patient during the process of monitoring, performing diagnostics and determining therapeutic intervention. Multiple IM-Agents coordinate as a team with each agent performing specialized monitor and diagnostic tasks. Fuzzy logic, connection networks, trend analysis and qualitative logic methods are used within the dynamic decision modules of all IM-Agents. The agents are autonomous, interactive, mobile and capable of performing dynamic intelligent inference during execution. Decision functionality is demonstrated in preliminary prototype test cases involving emergency trauma scenarios, particularly focusing on stabilizing hemorrhagic shock.