深層学習を用いた外来患者の一次スクリーニング自動化と転倒転落事故防止見守りアシストシステム

抄録

For hospitals with a large number of outpatients per day, we conduct a primary screening of the outpatient falling risk using deep learning at medical treatment and discriminate high-risk patients. Moreover, we propose a nursing assist system that prevents fall accidents by risk assessment of the state of patients who change every moment, hospital equipment situation in real time, forecasting accidents, and warning patients and medical staff. The medical staff grasps through the wearable device such as the smart glass or the mobile terminal so that other patients with protection of personal information as following: the screening result, the treatment condition of the patient described in the electronic medical record, and the current risk level.