| Literature DB >> 31157297 |
Wayne Zachary1, Steven Bishop2, Janis Cannon-Bowers1, Addison Blanda1, Prathmesh Pethkar1, Theresa Wilkin1, Taylor Carpenter3, Annika Horgan3, Thomas Santarelli3.
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.Entities:
Keywords: Clinical communications; Digital tutor; Health disparities; Intelligent tutoring; Mobile Game-based training
Year: 2018 PMID: 31157297 PMCID: PMC6543526 DOI: 10.1007/978-3-319-93882-0_24
Source DB: PubMed Journal: Appl Hum Factors Ergon Conf