Enhancing clinical reasoning skills for medical students: a qualitative comparison of LLM-powered social robotic versus computer-based virtual patients within rheumatology

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Publicado en:Rheumatology International vol. 44, no. 12 (Dec 2024), p. 3041
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Springer Nature B.V.
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024 7 |a 10.1007/s00296-024-05731-0  |2 doi 
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245 1 |a Enhancing clinical reasoning skills for medical students: a qualitative comparison of LLM-powered social robotic versus computer-based virtual patients within rheumatology 
260 |b Springer Nature B.V.  |c Dec 2024 
513 |a Journal Article 
520 3 |a Virtual patients (VPs) are increasingly used in medical education to train clinical reasoning (CR) skills. However, optimal VP design for enhancing interactivity and authenticity remains unclear. Novel interactive modalities, such as large language model (LLM)-enhanced social robotic VPs might increase interactivity and authenticity in CR skill practice. To evaluate medical students’ perceptions of CR training using an LLM-enhanced social robotic VP platform compared with a conventional computer-based VP platform. A qualitative study involved 23 third-year medical students from Karolinska Institutet, who completed VP cases on an LLM-enhanced social robotic platform and a computer-based semi-linear platform. In-depth interviews assessed students’ self-perceived acquirement of CR skills using the two platforms. Thematic analysis was employed to identify themes and sub-themes. Three main themes were identified: authenticity, VP application, and strengths and limitations. Students found the social robotic platform more authentic and engaging. It enabled highly interactive communication and expressed emotions, collectively offering a realistic experience. It facilitated active learning, hypothesis generation, and adaptive thinking. Limitations included lack of physical examination options and, occasionally, mechanical dialogue. The LLM-enhanced social robotic VP platform offers a more authentic and interactive learning experience compared to the conventional computer-based platform. Despite some limitations, it shows promise in training CR skills, communication, and adaptive thinking. Social robotic VPs may prove useful and safe learning environments for exposing medical students to diverse, highly interactive patient simulations.Key message<list list-type="bullet"><list-item></list-item>•An LLM-powered social robotic VP platform provides a more authentic and interactive learning experience compared to conventional computer-based VPs.<list-item>•Medical students undertaking clinical placements within rheumatology experienced that an LLM-enhanced social robotic platform can provide added value in training CR skills, particularly through realistic communication.</list-item><list-item>•Social robotic VPs may prove useful and safe learning environments for exposing medical students to diverse, highly interactive patient simulations.</list-item> 
653 |a Rheumatology 
653 |a Authenticity 
653 |a Medical students 
653 |a Communication 
653 |a Interactive learning 
653 |a Large language models 
653 |a Robotics 
653 |a Skills 
773 0 |t Rheumatology International  |g vol. 44, no. 12 (Dec 2024), p. 3041 
786 0 |d ProQuest  |t Health & Medical Collection 
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