Similarity Analysis of Order Trajectory for Hospital Management
Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano · 2022 IEEE International Conference on Big Data (Big Data) · 2022
Last year we proposed the application of order trajectory curve analysis to hospital mangement, which will be useful to analyze the global behavior of hospital activities. This paper proposes multi-dimensional trajectories mining to analyze the temporal characteristics of hospital services. Order Trajectories mining method consists of the following two process. First the similarities between temporal trajectories of selected variables are calculated. Second, similarity-based analysis technique such as clustering and multidimensional scaling are applied. The method was evaluated on data on the number of orders extracted from hospital information system. The results showed that the method discovered several important characteristics of the divisions in the hospital..