Trial reportMedical education online2025
Impact of providing a customized guideline on virtual medical history taking in two serious games for medical education.
Trial report in Medical education online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Review
- Teaching Personalized Doctor-Patient Communication with AI: PerTRAIN - a Prototype for Interpersonally Responsive Virtual Patients in Medical Education.Perspectives on medical education · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSerious games are known as safe learning environments, allowing medical students to train their skills without endangering patients' safety. By integrating virtual patients via chatbots, serious games provide the opportunity to practice history taking. The study investigated the impact of self-directed learning by means of a customized guideline on history taking in two distinct chatbot systems embedded in serious games.
methodsFourth-year medical students (
resultsComparing only the first measurement point, students achieved higher scores in the free-entry chatbot (85.2 ± 27.7) compared to the long menu chatbot (78.8 ± 35.7). Students achieved significantly higher scores in the second than in the first session in the long menu chatbot ( DISCUSSION: The results suggest that history taking benefits from self-directed learning in a long menu format relying on cued recall but not in a free-entry chatbot relying on free recall. Since serious games are partially artificial learning environments for training history taking, future studies should examine the extent to which students can transfer their learning in and out of serious games.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.