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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References
Centers for Disease Control and Prevention. National Diabetes Statistics Report, 2017. Centers for Disease Control and Prevention, U.S. Dept of Health and Human Services, Atlanta, GA, (2017)
World Health Organization: Diabetes Fact Sheet. Swizerland, Geneva (2017)
Gaskin, D.J., Thorpe Jr., R.J., McGinty, E.E., Bower, K., Rohde, C., Young, J.H., LaVeist, T.A., Dubay, L.: Disparities in diabetes: the nexus of race, poverty, and place. Am. J. Publ. Health 104(11), 2147–2155 (2014)
Collins, K.S., Hughes, D.L., Doty, M.M., Ives, B.L., Edwards, J.N., Tenney, K.: Diverse Communities, Common Concerns: Findings from the Commonwealth Fund 2001 Health Care Quality Survey. The Commonwealth Fund, New York (2002)
Roter, D.L., Hall, J.A., Merisca, R., Ruehle, B., Cretin, D., Svarstad, B.: Effectiveness of interventions to improve patient compliance: a meta-analysis. Med. Care 36, 1138–1161 (1998)
Cannon-Bowers, J.A., Bowers, C.A.: Synthetic learning environments. In: Spector, J.M., David Merrill, M., van Merriënboer, J.J.G., Driscoll, M.P. (eds.) Handbook of Research on Educational Communications and Technology, 3rd edn, pp. 317–328. Lawrence Erlbaum Associates, Mahwah (2007)
Cannon-Bowers, J.A., Bowers, C.A.: Synthetic learning environments: on developing a science of simulation, games and virtual worlds for training. In: Kozlowski, S.W.J., Salas, E. (eds.) Learning, Training and Development in Organizations, pp. 229–261. Routledge, New York (2009)
VanLehn, K.: The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educ. Psychol. 46(4), 197–221 (2011)
Kulik, J.A., Fletcher, J.D.: Effectiveness of intelligent tutoring systems: a meta-analytic review. Rev. Educ. Res. 86(1), 42–78 (2016)
Oser, R.L., Gualtieri, J.W., Cannon-Bowers, J.A., Salas, E.: Training team problem-solving skills: An event-based approach. Comput. Hum. Behav. 15, 441–462 (1999)
Bruppacher, H.R., Alam, S.K., LeBlanc, V.R., Latter, D., Naik, V.N., Savoldelli, G.L., Mazer, C.D., Kurrek, M.M., Joo, H.S.: Simulation-based training improves physicians’ performance in patient care in high-stakes clinical setting of cardiac surgery. Anesthesiol. J. Am. Soc. Anesthesiol. 112(4), 985–992 (2010)
Wagner, A., Rozenblit, J.W.: Augmented reality visual guidance for spatial perception in the computer assisted surgical trainer. Simul. Ser. 49(6), 46–57 (2017)
Roter, D.L., Hall, J.A.: Doctors Talking with Patients/Patients Talking with Doctors, 2nd edn. Prager, Westport (2006)
Williams, D.R.: Moving Upstream: How Interventions that Address the Social Determinants of Health Can Improve Health and Reduce Disparities. Plenary Lecture, Science of Eliminating Health Disparities Summit, National Institutes of Health, December 2008, National Harbor, MD (2016)
Corbett, A.T., Koedinger, K.R., Anderson, J.R.: Intelligent tutoring systems. In: Helander, M., Landauer, T.K., Prabhu, P. (eds.) Handbook of Human-Computer Interaction, 2nd edn, pp. 849–874. Elsevier Science, Amsterdam (1997)
VanLehn, K.: Regulative loops, step loops and task loops. Int. J. Artif. Intell. in Educ. 26(1), 107–112 (2016)
American Association of Medical Colleges: Core Entrustable Professional Activities for Entering Residency: Curriculum Developers’ Guide (2014). https://members.aamc.org/eweb/upload/Core%20EPA%20Curriculum%20Dev%20Guide.pdf. Accessed 3 Jan 2018
Pangaro, L.: A new vocabulary and other innovations for improving descriptive in-training evaluations. Acad. Med. 74(11), 1203–1207 (1999)
Rodriguez, R.G., Pangaro, L.N.: AM last page: mapping the ACGME competencies to the RIME framework. Acad. Med. 87(12), 1781 (2012)
Kalet, A., Pugnaire, M.P., Cole-Kelly, K., Janicik, R., Ferrara, E., Schwartz, M.D., Lazare, A.: Teaching communication in clinical clerkships: models from the macy initiative in health communications. Acad. Med. 79(6), 511–520 (2004)
Zachary, D.A., Zachary, W., Cannon-Bowers, J., Santarelli, T.: Backstory elaboration: a method for creating realistic and individually varied cultural avatars. In: Schatz, S., Hoffman, M. (eds.) Advances in Cross-Cultural Decision Making: Proceedings of the AHFE 2016 International Conference on Cross-Cultural Decision Making (CCDM), pp. 207–217. Springer, New York (2016). https://doi.org/10.1007/978-3-319-41636-6_17
Kevan, J.M., Ryan, P.R.: Experience API: flexible, decentralized and activity-centric data collection. Technol. Knowl. Learn. 21(1), 143–149 (2016)
Kitto, K., Cross, S., Waters, Z., Lupton, M.: Learning analytics beyond the LMS: the connected learning analytics toolkit. In: Proceedings of the Fifth International Conference on Learning Analytics and Knowledge, pp. 11–15. ACM (2015)
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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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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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