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临床路径挖掘和分析旨在通过分析临床路径事件日志,发现其中隐藏的知识和模式,辅助临床路径的设计与改进。采用流程挖掘技术,以大量的临床数据为对象,挖掘事件间的关系和诊疗流程模型,深入分析临床路径的实际执行情况。结肠癌临床路径的一致性检验实验结果显示,该方法可以有效评估临床路径实际执行情况,发现路径表达和执行时的不规范、不合理的地方,为临床路径的持续优化提供合理的建议和依据。
Clinical pathway mining and analysis aims to discover the hidden knowledge and patterns in clinical path events and assist in the design and improvement of clinical pathways. Using process mining technology, a large number of clinical data as the object, mining the relationship between events and treatment process model, in-depth analysis of the actual implementation of the clinical path. The consistency test of clinical pathology of colon cancer shows that this method can effectively evaluate the actual implementation of clinical pathways, find out irregularities and unreasonable places in the expression and execution of pathways, and provide reasonable suggestions and basis for the continuous optimization of clinical pathways .