Wayne Zachary, Steven Bishop, Janis Cannon-Bowers, Addison Blanda, Prathmesh Pethkar, Theresa Wilkin, Taylor Carpenter, Annika Horgan, Thomas Santarelli
{"title":"Challenges in Creating a Mobile Digital Tutor for Clinical Communications Training.","authors":"Wayne Zachary, Steven Bishop, Janis Cannon-Bowers, Addison Blanda, Prathmesh Pethkar, Theresa Wilkin, Taylor Carpenter, Annika Horgan, Thomas Santarelli","doi":"10.1007/978-3-319-93882-0_24","DOIUrl":null,"url":null,"abstract":"<p><p>Doctor-patient communication is a crucial element in effective medical care, and the striking health disparities evident in patients with Type II Diabetes may in part be caused by physicians' difficulties in establishing effective communication with patients who differ from them racially, culturally, and economically. REPEAT (Realizing Enhanced Patient Encounters through Aiding and Training) is a digital tutor developed to help solve this problem. REPEAT teaches and coaches learners to improve their general and disparities-focused clinical communication skills using simulated encounters with computer-generated Synthetic Standardized Patients (SSPs) and augments experiential learning in virtual encounters by applying customized, context-sensitive, learner-focused scaffolding. REPEAT authoring tools enable rapid development of learning content, allowing economical transferability to other domains. Key human factors challenges and their design solution in REPEAT are discussed.</p>","PeriodicalId":92002,"journal":{"name":"Applied Human Factors and Ergonomics Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543526/pdf/nihms-1031176.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Human Factors and Ergonomics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-319-93882-0_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/6/28 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Doctor-patient communication is a crucial element in effective medical care, and the striking health disparities evident in patients with Type II Diabetes may in part be caused by physicians' difficulties in establishing effective communication with patients who differ from them racially, culturally, and economically. REPEAT (Realizing Enhanced Patient Encounters through Aiding and Training) is a digital tutor developed to help solve this problem. REPEAT teaches and coaches learners to improve their general and disparities-focused clinical communication skills using simulated encounters with computer-generated Synthetic Standardized Patients (SSPs) and augments experiential learning in virtual encounters by applying customized, context-sensitive, learner-focused scaffolding. REPEAT authoring tools enable rapid development of learning content, allowing economical transferability to other domains. Key human factors challenges and their design solution in REPEAT are discussed.