基于分层赋时着色Petri网的临床路径建模

Modeling of Clinical Pathway Based on Hierarchical Timed Colored Petri Net

为了实现按病种设计的最佳医疗护理诊治方案和建立临床路径诊治系统,提出一种基于分层赋时着色Petri网(HTCPN)对复杂病种建立临床路径模型的方法,实现了对诊疗状态、信息流转及诊疗活动间的关系的可视化监控.基于标准元语言(SML)函数的设计,所建模型支持诊断决策信息和检查结果的实时输入,同时能够预测分析变异情况并实现路径的自动调整.设定任务时间戳对不同的患者到达速率分布进行数据仿真,基于仿真结果给出资源配置建议以改善临床路径实施效果.实验结果表明,基于HTCPN的临床路径在定性定量分析医疗诊治流程的基础上可以优化临床路径,继而为建立临床路径管理系统提供了依据.

In order to establish optimal clinical solution and speed up clinical pathway system construction, a modeling method using hierarchical timed colored Petri net （HTCPN） was put forward, thus clinical status, information flow as well as the relationship between clinical activities can be visually controlled. With the designed SML functions, real-time input is available for diagnostic decision and checking information. Parameters and conditions are set up to forecast and analyze variations in diagnostic processes, also automotive adjustment is able to be implemented. Using defined time stab of tasks, simulation analysis is conducted for different distributions of patients＇ arrival rate, and then methods for resources allocation are proposed to improve the effectiveness of clinical pathway implementation. The test results confirm that this method is effective in solving current clinical problem, and it paves the way for developing clinical pathway workflow system.