An expert-led and artificial intelligence system-assisted tutoring course to improve the confidence of Chinese medical interns in suturing and ligature skills: a prospective pilot study / 보건의료교육평가
Article
em En
| WPRIM
| ID: wpr-764477
Biblioteca responsável:
WPRO
ABSTRACT
PURPOSE: Lack of confidence in suturing/ligature skills due to insufficient practice and assessments is common among novice Chinese medical interns. This study aimed to improve the skill acquisition of medical interns through a new intervention program. METHODS: In addition to regular clinical training, expert-led or expert-led plus artificial intelligence (AI) system tutoring courses were implemented during the first 2 weeks of the surgical block. Interns could voluntarily join the regular (no additional tutoring), expert-led tutoring, or expert-led+AI tutoring groups freely. In the regular group, interns (n=25) did not receive additional tutoring. The expert-led group received 3-hour expert-led tutoring and in-training formative assessments after 2 practice sessions. After a similar expert-led course, the expert-led+AI group (n=23) practiced and assessed their skills on an AI system. Through a comparison with the internal standard, the system automatically recorded and evaluated every intern's suturing/ligature skills. In the expert-led+AI group, performance and confidence were compared between interns who participated in 1, 2, or 3 AI practice sessions. RESULTS: The end-of-surgical block objective structured clinical examination (OSCE) performance and self-assessed confidence in suturing/ligature skills were highest in the expert-led+AI group. In comparison with the expert-led group, the expert-led+AI group showed similar performance in the in-training assessment and greater improvement in the end-of-surgical block OSCE. In the expert-led+AI group, the best performance and highest post-OSCE confidence were noted in those who engaged in 3 AI practice sessions. CONCLUSION: This pilot study demonstrated the potential value of incorporating an additional expert-led+AI system–assisted tutoring course into the regular surgical curriculum.
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Texto completo:
1
Índice:
WPRIM
Assunto principal:
Taiwan
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Inteligência Artificial
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Projetos Piloto
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Estudos Prospectivos
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Currículo
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Povo Asiático
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Ligadura
Tipo de estudo:
Observational_studies
Limite:
Humans
País/Região como assunto:
Asia
Idioma:
En
Revista:
Journal of Educational Evaluation for Health Professions
Ano de publicação:
2019
Tipo de documento:
Article