[3E5-GS-10] AI application: Medicine / Healthcare

[3E5-GS-10-02] A study of methods for obtaining behavioral data to identify unrecorded tasks in nursing care records

〇Yu Sugimoto¹, Midoriko Tanabe¹, Taro Sugihara², Yoshinori Hijikata¹ (1. Kwasei Gakuin University, 2. Tokyo University of Engineering)

Keywords:care record, real world behavior, digitalization

In nursing homes, nursing care records are an indispensable source of information for understanding the condition of patients and improving operations. However, caregivers generally work under an overcrowded schedule, and because of the existence of skill differences, actual caregiving behaviors and observations are not fully reflected in the records. This study examines the discrepancies between actual caregiver behavior and documented records in nursing homes. A digital record of caregiver behavior will be digitally recorded for one large nursing home and reconciled with the home's caregiver records. Generalizing the record content for computerized matching will simplify the matching of actual behaviors to documented records. We proposed a new time study to obtain actual behavior and developed an application to record behavioral data based on it. To verify the effectiveness of the system, we conducted a behavior data acquisition experiment in a university and confirmed that the system could acquire sufficient behavior data to be matched with nursing care records. In addition, since the granularity of records differs between behavioral data and nursing care records, we proposed a method of aggregation.