完善医疗流程是解决患者快速就诊问题的关键,挖掘准确的医疗流程是一项非常重要的工作。已有研究解决了如何挖掘正确指导方针的问题,但对解决指导方针内部行为之间行为关系的问题有一定的局限性。本文用基于Petri网行为轮廓的流程挖掘方法对医疗流程进行优化和扩充。根据医疗系统提供的事件日志,利用Petri网行为轮廓的弱序关系,设计出相应的流程模型,然后与初始医疗流程模型进行比较,对初始模型进行改进和优化,得到更好的医疗流程模型。
It is key to solve the problem about the quick visits for pathients based on the medical process. So medical procedure accurately is a very important work. Now the existing research can solve the problem of how to mining right guidelines,but it is limit to solve the problem of the relationship of behaviour between the internal behavior of the guidelines. In the paper,we optimize and expend the treatment process by the way of outline-process mining method based on Petri net behavior. According to the event log of the health care system,using the weak-ordering relation based on Petri net,we can design the corresponding process model,and then compare with the initial medical process model to improve the initial model and optimization,get better medical treatment process model.