COMPUTER IMPLEMENTATION OF INTELLIGENT MEDICAL RESCUE OPERATIONS MANAGEMENT SYSTEM IN MASS CASUALTY INCIDENTS

Due to rapid development of biocybernetics and technical computer science, dispatching ofmedical emergency services can be significantly improved. Thus the effectiveness of conductingrescue operations during mass casualty incidents (MCI) can be increased. Selected optimizationmethods and the expert system have been used to develop an Intelligent Medical Rescue OperationsManagement System (IMROMS). This system is the basis for the real emergency medical supportsystem that could be implemented in the emergency units. In the current paper IMROMS hardwareand software implementation problems have been discussed, including the analysis of the currentstate of information-telecommunication technologies (ICT) support for the rescue system inprovinces of Poland. The IMROMS consists of computer support for the following emergencyworkstations: Data Communication System of Provincial Emergency System (DCSPES), MedicalEmergency Coordinator (MEC) and Medical Emergency Dispatcher (MED) workstations,Medical Emergency Supervisor (MES) workstation, Casualty Health Monitor (CHM) mobiledevices, Hospital Emergency Department (HED) workstations and Medical Rescue Teams (MRTs)workstations. Computer software implements the following modules: optimization module(IMROMS-OM), expert system (IMROMS-ES), geographical information system – (IMROMSGIS).Optimization module has been developed on the basis of the computer simulator for optimaldecision-making in medical rescue operations (CSMRO). The IMROMS software was developed tocarry out hypothetical rescue operations with the support of a computer, the operation of which wastested under near-real conditions during the 14th Warmia and Mazury Championship in MedicalRescue, held in Olsztyn, Poland, in 2016. The Championships were attended by 20 medical rescueteams from all over Poland. The competition scenario assumed a specific post-accident conditionof the victims, their injuries and the status of their basic vital signs. Participants performed initialsegregation according to the START algorithm, first without computer support – in the traditionalway - and then using IMROMS. Identification took place at the scene and involved entering healthdata such as the status of basic vital functions, including respiratory characteristics, blood pressure,respiratory effort and capillary return and the type of injury suffered by the victim. Data was entered by paramedics using the Casualty Health Monitor (CHM) mobile device. A MED/MEC computersupport station using the CSMRO optimization module provided a solution based on this to assignHED and MRT to MCI victims. The time spent by rescuers at the scene of an MCI incident duringinitial segregation was significantly reduced and, consequently, the time taken to carry out actionsin the subsequent individual stages of the rescue operation was also shorter.