Teaching History Taking in English Using AI-powered Tools

Effective medical interview is a cornerstone of healthcare practice. We offer four courses to improve Hungarian medical students’ English history-taking skills in internal medicine and other specialities.

The presentation aims to provide educators with practical strategies for effectively teaching history-taking in English to non-native medical students, integrating AI tools and simulated patient encounters to enhance learning outcomes and prepare students for real-world clinical practice.

The AI-powered tools, including Twee, Diffit, Quizziz, Padlet, and ChatGPT, used in our classrooms provide educators with personalized and innovative teaching materials. The content of history-taking dialogues between medical doctors, dentists, pharmacists, and patients is customized to students’ contextual needs. Integrating these AI-powered methodologies can help prepare students for successful patient interactions in English-speaking healthcare settings. Furthermore, utilizing these cutting-edge technologies can enhance both teaching and learning experiences.

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Alexandra, PhD, Habil, is Assistant Professor. Her interests relate to studying English for medical and medical research objectives. She is researching 21st-century challenges in higher education, the use of the internet and telemedicine in doctor-patient communication. She is a trainer at the Simulated Patient programme at the Medical School.

Aniko is PhD student, Assistant Professor. She teaches languages for biomedical purposes and medical communication. She is a third-year PhD student researching L3 motivation, multilingual awareness, and motivation to learn LOTE. She is a trainer at the Simulated Patient programme at the Medical School.

Csilla is a PhD student, Assistant Professor. She teaches languages for biomedical purposes and medical communication, English terminology and communication for dentistry students at the Medical School. Her research interests are Applied Linguistics, Psycholinguistics, Discourse Analysis, Telemedicine and Teledentistry.

Renata is PhD student, Assistant Professor. She teaches Languages for Biomedical Purposes, Anatomical and Medical Terminology and Communication for Medical, Dentistry and Biotechnology students. Her research interests are Teledentistry, Telemedicine, Online testing, Communication and Simulated Patients in the field of Medicine.

Join us for this one-day event dedicated to discussions on the role of AI in healthcare communication and education.