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Challenges in Creating a Mobile Digital Tutor for Clinical Communications Training

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Advances in Human Factors in Training, Education, and Learning Sciences (AHFE 2018)

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.

The original version of this chapter was revised: The author name has been included. The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-93882-0_46

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Acknowledgments

The research reported in this publication was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health, under award number R44MD009559. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Correspondence to Wayne Zachary .

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Zachary, W. et al. (2019). Challenges in Creating a Mobile Digital Tutor for Clinical Communications Training. In: Nazir, S., Teperi, AM., Polak-Sopińska, A. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2018. Advances in Intelligent Systems and Computing, vol 785. Springer, Cham. https://doi.org/10.1007/978-3-319-93882-0_24

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  • DOI: https://doi.org/10.1007/978-3-319-93882-0_24

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