{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Asada Y"],"funding":["JSPS Kakenhi"],"pagination":["352"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11857797"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["61(2)"],"pubmed_abstract":["<i>Background and Objectives</i>: Diabetes is a rapidly increasing global health challenge compounded by a critical shortage of diabetes care and education specialists. Robot-assisted diabetes care offers a cost-effective and scalable alternative to traditional methods such as training and dispatching human experts. This pilot study aimed to evaluate the feasibility of using robots for diabetes care consultations by examining their ability to elicit meaningful patient feedback, identify therapeutic issues, and assess their potential as substitutes for human specialists. <i>Materials and Methods</i>: A robot-assisted consultation programme was developed by selecting an appropriate robot, designing the programme content, and tailoring back-channel communication elements. Experienced diabetes"],"journal":["Medicina (Kaunas, Lithuania)"],"pubmed_title":["Robot-Assisted Approach to Diabetes Care Consultations: Enhancing Patient Engagement and Identifying Therapeutic Issues."],"pmcid":["PMC11857797"],"funding_grant_id":["JP18K08505 and JP21K10300"],"pubmed_authors":["Yamaaki N","Yagi K","Horiguchi T","Shikida M","Yamashita A","Nishio S","Inagaki M","Asada Y","Ueta R","Komatsu M"],"additional_accession":[]},"is_claimable":false,"name":"Robot-Assisted Approach to Diabetes Care Consultations: Enhancing Patient Engagement and Identifying Therapeutic Issues.","description":"<i>Background and Objectives</i>: Diabetes is a rapidly increasing global health challenge compounded by a critical shortage of diabetes care and education specialists. Robot-assisted diabetes care offers a cost-effective and scalable alternative to traditional methods such as training and dispatching human experts. This pilot study aimed to evaluate the feasibility of using robots for diabetes care consultations by examining their ability to elicit meaningful patient feedback, identify therapeutic issues, and assess their potential as substitutes for human specialists. <i>Materials and Methods</i>: A robot-assisted consultation programme was developed by selecting an appropriate robot, designing the programme content, and tailoring back-channel communication elements. Experienced diabetes","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Feb","modification":"2025-04-04T09:09:02.468Z","creation":"2025-04-04T09:09:02.468Z"},"accession":"S-EPMC11857797","cross_references":{"pubmed":["40005468"],"doi":["10.3390/medicina61020352"]}}