Wartime Casualty Medical Evacuation And Equipment Allocation Simulation

Nowadays, military thoughts, organizational structure, operations and support modes,have greatly changed, with the new requitments for medical support capabilities, theintegrated joint support and flexible tactics involved in the future medical service in theinformationised war. Heath service support organizations should achieve better mobilityand faster response, which puts forward higher requirements for the optimal allocation ofmedical equipment. The optimal allocation of medical equipment is of great significancefor improving the rates for the casualty to return to duty after recovery, for died of wound,mortality and disability, and thus to maintain and enhance the combat effectiveness of theentire force. The wartime casualty medical evacuation and medical equipment allocation,involving a number of dynamic and stochastic factors, can be defined as the solution for acomplex dynamic stochastic system. Traditional analytical methods are typically used tohandle static, standardized, simple probability issues, and when they come to complexissues, the strong simplifying assumptions have to be made, which affect the validity of themodel. In contrast, the simulation methods can accurately describe the evolution anddevelopment process of the dynamic and random system. So, this thesis adopts systemsimulation technology to this issue.Based on the medical evacuation theory and system simulation technology, themedical treatment facility modules and relevant task sequences are defined, with thequantification framework offered for the whole simulation research. The casualty treatmentand survival processes are quantified, providing base data for the research. Themathematical models of casualty medical evacuation are analyzed and developed, and themodeling methods are described, and also the run logic for the research. A3D visualsimulation system is developed based on Simio simulation platform to be the tool for theresearch. At last, some simulation models are established with the simulation system abovementioned, and simulation experiments are used to achieve the optimal allocation ofmedical equipment. Here are the specific contents of the research:Research on the module classification and treatment task sequences of the medicaltreatment facility. Based on time-effect and modern classification treatment theories, thetreatment classified management of medical facilities is described, and the service functionof a typical facility is analyzed. With the modular theory and methods, the modularcomposition of the medical treatment chain is analyzed, and the facility treatment modulesare distinguished. On the basis of the above work, the treatment task sequences aredetermined based on facility treatment scopes, technology measures and treatmentworkflow. This part provides quantification framework for the simulation research and structural support for the simulation system.Research on the simulation base data of the casualty medical evacuation andequipment allocation. Based on the U.S. Army patient condition codes and expert advices,the casualty classification method in this thesis is achieved. The casualty treatment basedata, such as priorities and life-threatening levels, are obtained by expert consultation. Thecasualty treatment task sequences are determined through the analysis of condition andtreatment measures in all treatment echelons, which helps achieve the quantification ofcasualty treatment process. The survival probability data of wartime casualty are collectedusing expert questionnaires. These data are fitted using Weibull survival function, and thesurvival model is obtained, which helps achieve the quantification of casualty survivalprocess.Research on the simulation concept models of the casualty medical evacuation andequipment allocation. The contents and methods of object-oriented simulation modelingframework are described. The object hierarchy of the wartime casualty medical evacuationand medical equipment allocation simulation system are developed based on the moduledivision and analysis of the simulation system modeling capabilities. Through the analysisand developing the casualty flow generation, medical treatment and evacuation models,thesimulation assumptions are put forward, and the modeling methods are analyzed, achievingthe description of the simulation system object behaviors and interactions. This part bringsout run logic of the entire simulation research and simulation system.Development of simulation system of the casualty medical evacuation and equipmentallocation. Simio is selected as the development platform from many simulation softwares,and its modeling framework is described. The simulation underlying database is developedusing Access2007, based on database data analysis and design, which solves the data inputissues of the simulation system. The3D virtual simulation theory is described. The3Dentity library, including the scenes, is developed using3D modeling tool, which is used for3D virtual display with Simio. Using the advantages of object-oriented and multi-levelmodeling of Simio, a series of smart objects, which are necessary for the modeling ofcasualty medical evacuation and equipment allocation, are developed, achieving asimulation object library and the modeling functions of the simulation system. This partdevelops the simulation system and provides tool for the simulation research.At last, research on the simulation models and experiments for the allocation ofmedical equipment. The simulation study process based on the tool developed is elaboratedand analyzed. An aid station and a treatment chain, involving the evacuation object,medical equipment allocation simulation models are developed. The model building workshows the convenience and effectiveness of the simulation system. The typical issues ofthe allocation of medical equipment are analyzed using simulation experiments, whichprovides research method and decision making data for health service agencies andresearchers. That part is the typical applications of medical equipment allocation simulation tool, and also the case study of the simulation research.Innovations of this research:(1)Based on research of the treatment modules, treatment task sequences andcasualty survival model,the casualty treatment and survival processes are quantified,andthe casualty medical evacuation simulation underlying database is developed,whichprovides a professional information platform for the research on medical evacuation andmedical equipment, and is great significance for the quantitative study of the health serviceand equipment.(2)Based on the module division and analysis of the simulation system modelingcapabilities, the object hierarchy of the wartime casualty medical evacuation and medicalequipment allocation simulation system are developed. Through the analysis anddeveloping the casualty flow generation, medical echelon treatment, facility treatment,moule treatment and evacuation models, the modeling methods are analyzed. This partbrings out technical methods for the simulation system development, modeling andexperiment research.(3)Based on Simio simulation platform, the simulation underlying database aredeveloped, which solves the issues of lack of data in the previous study. The3D entitylibrary, including the scenes, is developed, which combinates with the virtual realityperformance ability of Simio, solving the visual performance issues in the previous study.The modeling object library is developed, achieving the development and integration of thewartime casualty medical evacuation and equipment allocation3D visual simulationsystem, which provide a professional simulation tool for health service agencies andresearchers, solves the modeling method issues in the previous study, and makes decisionmakers may study and analyze the deployment, support, evaluation, and developmentdecisions of medical equipment from the overall analysis of the heath service support,enhancing the reliability and scientificity of related decision-making and research work.