Huang Zhengxing, Gan Chenxi, Lu Xudong, Huan Huilong
College of Biomedical Engineering and Instrument Science of Zhejiang University, The Key Laboratory of Biomedical Engineering, Ministry of Education, China.
Stud Health Technol Inform. 2013;192:117-21.
In a fast-changing healthcare environment, understanding the changes of medical behaviors in clinical pathways can help hospital managers improve the pathways and make better medical strategies for patient careflow. In this study we propose an approach to detect medical behavior changes between two time periods, by providing a change pattern detection algorithm dividing the discovered change patterns into four categories (i.e., perished patterns, added patterns, unexpected changes, and emerging patterns). The proposed approach is evaluated via real-world data sets extracted from Zhejiang Huzhou Central Hospital of China with regard to the clinical pathway of bronchial lung cancer in 2007-2009 and 2011. The experiment results include three categories of change patterns from the collected data-sets, making a relatively comprehensive cover on the significant changes in clinical pathways, which might be essential from the perspectives of clinical pathway analysis and improvement.
在快速变化的医疗环境中，了解临床路径中医疗行为的变化有助于医院管理者改进路径，并为患者诊疗流程制定更好的医疗策略。在本研究中，我们提出了一种检测两个时间段之间医疗行为变化的方法，通过提供一种变化模式检测算法，将发现的变化模式分为四类（即消失模式、新增模式、意外变化和出现模式）。通过从中国浙江湖州中心医院提取的2007 - 2009年和2011年支气管肺癌临床路径的真实数据集，对所提出的方法进行了评估。实验结果包括从收集的数据集中得出的三类变化模式，相对全面地涵盖了临床路径中的重大变化，这从临床路径分析和改进的角度来看可能至关重要。
