2012
DOI: 10.4018/jgcms.2012070101
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Sorting Out the Virtual Patient

Abstract: Since Dr. Howard Barrows (1964) introduced the human standardized patient in 1963, there have been attempts to game a computer-based simulacrum of a patient encounter; the first being a heart attack simulation using the online PLATO system (Bitzer, 1966). With the now ubiquitous use of computers in medicine, interest and effort have expended in the area of Virtual Patients (VPs). One problem in trying to understand VPs is that there are several quite distinct educational approaches that are all called a ‘virtu… Show more

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Cited by 58 publications
(22 citation statements)
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References 48 publications
(55 reference statements)
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“…Conferring intelligence on XR can be useful for different applications, such as cancer detection (Chen et al, 2019), gaming (Turan and Çetin, 2019), advanced visualization (Sadeghi et al, 2021), driver training (Ropelato et al, 2018), andvirtual patient andmedical training (Gutiérrez-Maldonado et al, 2008). For example, in virtual patient applications, AI has been used to create Artificial Intelligence Dialogue Systems (Talbot et al, 2012). Consequently, virtual patients can engage in natural dialogue with users.…”
Section: Conferring Intelligence On Xrmentioning
confidence: 99%
“…Conferring intelligence on XR can be useful for different applications, such as cancer detection (Chen et al, 2019), gaming (Turan and Çetin, 2019), advanced visualization (Sadeghi et al, 2021), driver training (Ropelato et al, 2018), andvirtual patient andmedical training (Gutiérrez-Maldonado et al, 2008). For example, in virtual patient applications, AI has been used to create Artificial Intelligence Dialogue Systems (Talbot et al, 2012). Consequently, virtual patients can engage in natural dialogue with users.…”
Section: Conferring Intelligence On Xrmentioning
confidence: 99%
“…AI technologies, such as machine learning and data mining, have been increasingly integrated with medical science and are gradually becoming important drivers of medical development. AI presents unique advantages in disease diagnosis and prediction, surgical robotics, image recognition, virtual medical assistance, pharmaceutical research and development, and health management (6)(7)(8)(9)(10)(11). In the field of diabetes education, AI technologies have been extensively utilized in diabetes prediction, dietary and exercise guidance, insulin injection guidance, monitoring of complications, and self-management.…”
Section: Ai Advantages In Medical Sciencementioning
confidence: 99%
“…In these studies, typically, human participants interacted with virtual patients via text or voice, and the virtual patients were animated and programmed to react toward the participants in a realistic way. For a summary of different types of virtual patients see (Talbot et al, 2012;Kononowicz et al, 2015).…”
Section: Introductionmentioning
confidence: 99%