INTELLIGENT MEDICAL SYSTEM FOR PARAMEDICS
Andrzej Janicki, Piotr Filipkowski, Michał Horodelski · Polski Przegląd Medycyny i Psychologii Lotniczej/The Polish Journal of Aviation Medicine and Psychology · 2014
In this paper the authors describe prehospital medical rescue, its subsystem for ma- naging rescue eff orts and subsystem for execution of rescue eff orts. They present an outline of operation of an emergency medical service and as a quality solution provide a trifactorial utility function by Andrzej Janicki. The authors prepared and explained two models of prehospital medical rescue. The fi rst one called ARM is based on agent technology, whereas the second one is prepared in terms of Petri net theory. Utility function was used to analyze the usefulness of rescue agencies with the purpose of identifying the needs for changes in the analyzed scenario within the State Emergency Medical Service (SEMS). In order to solve the problem of supporting the decisions of the Dispatcher at the Rescue Notifi cation Centre (RNC), a proprietary rescue agency algorithm developed by P. Filipkowski was used. The developed rescue agency algori- thm to support the RNC Dispatcher in the decision making process was implemented in a modelling and simulation environment based on Scilab language. Introduction of decisions characterized by higher utility values would reduce the operation cost of rescue agencies and thus the entire SEMS by increasing the quality of service provided by rescuer agents and specialist rescuer agents as well as their participation in the decision-making process initiated by the ECC dispatcher. agent rescue model, emergency rescue system, state emergency rescue service