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Application of Artificial Intelligence as an Aid for the Correction of the Objective Structured Clinical Examination (OSCE)

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Publicado en:Applied Sciences vol. 15, no. 3 (2025), p. 1153
Autor principal: Luordo, Davide
Otros Autores: Marta Torres Arrese, Cristina Tristán Calvo, Kirti Dayal Shani Shani, Miguel Rodríguez Cruz, Luis, García Sánchez, Francisco Javier, Alfonso Lagares Gómez-Abascal, Rafael Rubio García, Juan Delgado Jiménez, Mercedes Pérez Carreras, Ramiro Diez Lobato, Juan José Granizo Martínez, Tung-Chen, Yale, Mª Victoria Villena Garrido
Publicado:
MDPI AG
Materias:
Complutense University of Madrid OpenAI
Hospitals
Patients
Medical education
Natural language processing
Medical students
Artificial intelligence
Subjectivity
Decision making
Chatbots
Skills
Acceso en línea:Citation/Abstract
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Resumen:The assessment of clinical competencies is essential in medical training, and the Objective Structured Clinical Examination (OSCE) is an essential tool in this process. There are multiple studies exploring the usefulness of artificial intelligence (AI) in medical education. This study explored the use of the GPT-4 AI model to grade clinical reports written by students during the OSCE at the Teaching Unit of the 12 de Octubre and Infanta Cristina University Hospitals, part of the Faculty of Medicine at the Complutense University of Madrid, comparing its results with those of human graders. Ninety-six (96) students participated, and their reports were evaluated by two experts, an inexperienced grader, and the AI using a checklist designed during the OSCE planning by the teaching team. The results show a significant correlation between the AI and human graders (ICC = 0.77 for single measures and 0.91 for average measures). AI was more stringent, assigning scores on an average of 3.51 points lower (t = −15.358, p < 0.001); its correction was considerably faster, completing the analysis in only 24 min compared to the 2–4 h required by human graders. These results suggest that AI could be a promising tool to enhance efficiency and objectivity in OSCE grading.
ISSN:2076-3417
DOI:10.3390/app15031153
Fuente:Publicly Available Content Database