Toward the Implementation of the DPC Code Classification System in Hospital Information Systems

We have been conducting research to develop a system for selecting DPC codes from patient discharge summaries using text mining techniques. The performance demonstrated thus far indicates that the classification system is sufficiently practical for real-world use. However, with the limited dataset used for training, the possibility of overfitting cannot be ruled out, necessitating performance evaluation with new data.In this study, we propose a scheme in which the classification system is constructed using discharge summaries from one fiscal year and evaluated using data from a different fiscal year. Following this scheme, we conducted experiments to test its validity.The results showed that the evaluation metrics obtained through cross-validation were less than those obtained using new data. This finding suggests that constructing the classification system while bias estimation is crucial for its successful implementation in hospital information systems.