Treffer: Assessment of ChatGPT-5 as an Artificial Intelligence Tool for Exploring Emerging Dimensions of Clinical Simulation: A Proof-of-concept Study.
Title:
Assessment of ChatGPT-5 as an Artificial Intelligence Tool for Exploring Emerging Dimensions of Clinical Simulation: A Proof-of-concept Study.
Authors:
Rios-Garcia W; Research Network on Digital Health, Artificial Intelligence, and Education (NET-IA WORLD), Lima, Peru. wagner16rg@gmail.com.; Hospital San Juan de Dios de Pisco, Pisco, Perú. wagner16rg@gmail.com., Silva-Jiménez S; Facultad de Ciencias Médicas, Universidad de Cuenca, Cuenca, Ecuador.; Asociación Científica de Estudiantes de Medicina de la Universidad de Cuenca (ASOCEM-UCuenca), Cuenca, Ecuador., Gálvez-Rodríguez E; Universidad Nacional de Trujillo, Trujillo, Perú., Alberca-Naira Y; Escuela de Medicina, Universidad Nacional de Piura, Piura, 20002, Perú., Via-Y-Rada-Torres AD; Facultad de Medicina, Universidad Científica del Sur, Lima, Perú., Rios-Garcia AA; Research Network on Digital Health, Artificial Intelligence, and Education (NET-IA WORLD), Lima, Peru.
Source:
Journal of medical systems [J Med Syst] 2026 Jan 09; Vol. 50 (1), pp. 6. Date of Electronic Publication: 2026 Jan 09.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE
Imprint Name(s):
Publication: 1999- : New York, NY : Kluwer Academic/Plenum Publishers
Original Publication: New York, Plenum Press.
Original Publication: New York, Plenum Press.
MeSH Terms:
References:
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Guinez-Molinos S, Castillo B, Espinoza Carrasco P. Simulación clínica online para estudiantes de ciencias de la salud durante la pandemia de COVID-19. Educ Médica. 2023;24:100843. https://doi.org/10.1016/j.edumed.2023.100843.
Shahrezaei A, Sohani M, Taherkhani S, Zarghami SY. The impact of surgical simulation and training technologies on general surgery education. BMC Med Educ. 2024;24:1297. https://doi.org/10.1186/s12909-024-06299-w. (PMID: 10.1186/s12909-024-06299-w3953820911558898)
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Bajwa J, Munir U, Nori A, Williams B. Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthc J. 2021;8:e188–94. https://doi.org/10.7861/fhj.2021-0095. (PMID: 10.7861/fhj.2021-0095342861838285156)
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Contributed Indexing:
Keywords: Artificial intelligence (MeSH); Chatbot; Education; Medical; ChatGPT
Entry Date(s):
Date Created: 20260108 Date Completed: 20260108 Latest Revision: 20260108
Update Code:
20260109
DOI:
10.1007/s10916-025-02334-5
PMID:
41507587
Database:
MEDLINE
Weitere Informationen
Artificial intelligence (AI) and large language models (LLMs) such as ChatGPT-5 are increasingly applied in medical education. However, their potential role in clinical simulation remains largely unexplored. This descriptive proof-of-concept study aimed to examine ChatGPT-5's ability to synthesize and generate educational content related to clinical simulation, focusing on the coherence, factual accuracy, and understandability of its outputs. Seven exploratory questions covering conceptual, historical, and technological aspects of clinical simulation were submitted to ChatGPT-5. Each query was regenerated three times to assess consistency. Responses were independently evaluated by multiple reviewers using a five-point Likert scale for content quality and accuracy, and the Patient Education Materials Assessment Tool (PEMAT) for understandability. Authenticity of AI-generated references was verified through PubMed and Google Scholar. ChatGPT-5 produced coherent and organized responses reflecting major milestones and trends in clinical simulation. Approximately 80% of cited references were verifiable, while some inconsistencies indicated residual fabrication. The average agreement score for accuracy and coherence was 4 ("agree"), suggesting generally acceptable quality. PEMAT analysis showed that content was structured and clear but occasionally used complex terminology, limiting accessibility. Within the exploratory scope of this proof-of-concept study, ChatGPT-5 demonstrated potential as a supportive tool for synthesizing information about clinical simulation. Nonetheless, interpretive depth, citation reliability, and pedagogical adaptation require further refinement. Future research should assess the integration of LLMs into immersive simulation environments under robust ethical and educational frameworks.
(© 2025. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Ethics Declarations. Ethical Approval: Not applicable. Consent to Participate: We have not worked with human participants. Competing Interests: The authors declare no competing interests.