Using the Natural Language Processing System Medical Named Entity Recognition-Japanese to Analyze Pharmaceutical Care Records: Natural Language Processing Analysis.

Background: Large language models have propelled recent advances in artificial intelligence technology, facilitating the extraction of medical information from unstructured data such as medical records. Although named entity recognition (NER) is used to extract data from physicians' records, it has yet to be widely applied to pharmaceutical care records.

Objective: In this study, we aimed to investigate the feasibility of automatic extraction of the information regarding patients' diseases and symptoms from pharmaceutical care records.

Community-wide physical activity intervention based on the Japanese physical activity guidelines for adults: A non-randomized controlled trial.

Unlabelled: Very few community intervention studies that promote physical activity (PA) using guidelines and its dissemination and implementation have been conducted. Consequently, we evaluated the effectiveness of a community-wide intervention (CWI) of PA with adults based on the Japanese guidelines for promoting PA. This was a non-randomized controlled trial, with four administrative districts in Fujisawa city assigned to the intervention group and nine to the control group.