Jan Hendrik Röhl, Andrea D. Klausen, Nicole Feldmann, R. Diekmann, S. Hellmers, U. Günther, Andreas Hein
{"title":"Android Robot-Patient for Teaching and Training of Delirium Assessment Instruments: A Pilot Study","authors":"Jan Hendrik Röhl, Andrea D. Klausen, Nicole Feldmann, R. Diekmann, S. Hellmers, U. Günther, Andreas Hein","doi":"10.1109/ARSO56563.2023.10187448","DOIUrl":null,"url":null,"abstract":"Educating and training medical staff in the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is time-consuming and complex. This paper presents a pilot study of a prospective CAM-ICU training scenario for the CAM-ICU using an android robot-patient (ARP). The scenario is a two-stage concept including a short interactive presentation and a hands-on exercise. During the hands-on part, we compared an ARP with a simulated patient (SP), both imitating specific behaviors of patients with delirium. A questionnaire was used to evaluate the use of the ARP as a teaching, training, and assessment method. During the study, none of the participants had any difficulty performing the CAM-ICU or using the ARP, and all participants could imagine training with the ARP again. This leads to the conclusion that the ARP is a suitable, flexible and risk-free training method for the CAM-ICU.","PeriodicalId":382832,"journal":{"name":"2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARSO56563.2023.10187448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Educating and training medical staff in the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is time-consuming and complex. This paper presents a pilot study of a prospective CAM-ICU training scenario for the CAM-ICU using an android robot-patient (ARP). The scenario is a two-stage concept including a short interactive presentation and a hands-on exercise. During the hands-on part, we compared an ARP with a simulated patient (SP), both imitating specific behaviors of patients with delirium. A questionnaire was used to evaluate the use of the ARP as a teaching, training, and assessment method. During the study, none of the participants had any difficulty performing the CAM-ICU or using the ARP, and all participants could imagine training with the ARP again. This leads to the conclusion that the ARP is a suitable, flexible and risk-free training method for the CAM-ICU.