Clinical decision support with IM-agents and ERMA multi-agents

IM-Agents (intelligent monitoring agents) provides a system infrastructure and proof of concept applications demonstrating meaningful diagnosis and intervention advice for healthcare personnel. 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. Agents act 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. Emergency medical assistant (ERMA) components demonstrate the system for the trauma environment with particular emphasis on types of shock and stabilization of arterial blood gases. This approach for clinical decision support systems shows promise for a number of critical care scenarios.