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.

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 train...

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Publicado en:Journal of Educational Evaluation for Health Professions Vol. 16; pp. 1 - 9
Autores principales: Ying-Ying Yang, Shulruf, Boaz
Formato: pictorial research tables/charts Journal Article
Publicado: National Health Personnel Licensing Examination Board 2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2019
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      pub: National Health Personnel Licensing Examination Board
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        10.3352/jeehp.2019.16.7
        138467785
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        atl: 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.
      aug:
        au:
          Ying-Ying Yang
          Shulruf, Boaz
        affil: Division of Clinical Skills Training and High-fidelity Medical Simulation for Holistic Care and Inter-Professional Collaboration, Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan
      sug:
        subj:
          Artificial Intelligence Utilization
          Teaching Methods, Clinical
          Confidence
          Interns and Residents
          Skill Acquisition
          Chinese Persons
          Suture Techniques Education
          Ligation Education
          Human
          Male
          Female
          Adult
          Pilot Studies
          Academic Medical Centers Taiwan
          Internship and Residency
          Clinical Competence
          Taiwan
          Self Assessment
          Comparative Studies
          Interrater Reliability
          Summated Rating Scaling
          One-Way Analysis of Variance
          Adult: 19-44 years
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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