Your browser doesn't support javascript.
loading
Artificial Intelligence and Objective Structured Clinical Examinations: Using ChatGPT to Revolutionize Clinical Skills Assessment in Medical Education.
Misra, Sanghamitra M; Suresh, Srinivasan.
Afiliación
  • Misra SM; Division of Academic General Pediatrics, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.
  • Suresh S; Texas Children's Hospital, Houston, Texas, USA.
J Med Educ Curric Dev ; 11: 23821205241263475, 2024.
Article en En | MEDLINE | ID: mdl-39070287
ABSTRACT
This article examines the integration of OpenAI's Chat Generative Pre-trained Transformer (ChatGPT) into Objective Structured Clinical Examinations (OSCEs) for medical education. OSCEs, essential in evaluating medical trainees, are time and resource-intensive for educators and medical colleges. ChatGPT emerges as a solution, aiding educators in efficient OSCE preparation, including case development, standardized patient training, assessment methods, and grading rubrics. We explore ChatGPT's role in reducing trainee stress through simulated interactions of realistic practice scenarios and real-time trainee feedback. We also discuss the importance of validating ChatGPT outputs for medical accuracy and address compliance concerns. While highlighting ChatGPT's potential in reducing time and cost burdens for educators, we underscore the need for careful and informed application of Artificial Intelligence in medical education. Through examples, we outline ChatGPT's promising future in augmenting medical training and assessment, balancing technological innovation with educational integrity.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Med Educ Curric Dev Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Med Educ Curric Dev Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos