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IM-Agents Project: Multi-Agents for Clinical Decision Support
The goal of the IM-Agents (Intelligent Monitoring Agents) Project is to advance the state of viable clinical decision support systems through computer science multi-agents, networking and logical inference. IM-Agents represent a system infrastructure for specialized decision support. The Emergency Medical Assistant (ERMA) components provide decision functionality for the trauma environment with particular emphasis on types of shock and stabilization of arterial blood gases. The problem domain is extremely complex, with uncertainties and interdependencies. The monitored environment for a patient is comprised of a number of influences from numerous sources involving asynchronous, dynamic changes. Multi-Agents act on behalf of a patient as a collaborative team of specialists. Data is dynamically collected, filtered and integrated. Dynamic inference is accomplished within agents through a hybrid approach of Fuzzy Logic, Causal Bayesian networks, trend analysis and qualitative logic. Initial emphasis has been on emergency trauma scenarios but the approach for clinical decision support systems shows promise for a number of critical care scenarios, demonstrating meaningful diagnosis and intervention advice for healthcare personnel.
For more information, contact Susan Mabry, Ph.D., at smabry@whitworth.edu.
2004-2005 Research Team The IM-Agents Team fluctuates with members. The current team members include:
- Susan Mabry, Ph.D. (Principal Investigator)
- Russell Roundy, M.D (Medical Consultant)
- Kent Jones, Ph.D. (Collaborative Investigator)
- Caleb Hug
- Nathan Backman
- Yuriy Solovyov
- Brad Suhm
- Amir Rizk
- Patrick Reilly
Acknowledgments This project has been supported by:
- The National Science Foundation under Grant CISE IIS-0101819
- Whitworth University Institutional Funding
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