2021 Volume 41 Issue 1 Pages 3-11
In order to realize the ideal state of the future system of medical care provision in the region, clarification and specialization of clinical functions are being promoted with the aim of effectively utilizing and optimizing medical resources. The Clinical Function Reporting System requires medical institutions to report their clinical functions along with data representing the actual conditions of medical care, and encourages them to voluntarily grasp the current situation and plan for the future. In this study, we analyzed published clinical function report data using topic models cultivated in the field of natural language processing, and attempted to extract patterns of medical care activities that characterize clinical functions. As a result, the functional units that compose the clinical function could be extracted as topics, indicating the possibility of quantitative analysis of clinical function. In the midst of the promotion of a community healthcare plan toward 2025, proper analysis based on objective data is of paramount importance in forming consensus among stakeholders and encouraging constructive discussion. This research is considered to play a part in the analysis method.
