Work

Evaluation of the Effectiveness of MED·SMART-AI in Undergraduate Clinical Anesthesia Teaching

Year: 2024

Type: article

Abstract: This study aimed to assess the impact of MED·SMART-AI on undergraduate clinical anesthesia internship teaching. Sixty undergraduate interns at Jiangyin Hospital Affiliated to Nantong University were divided into two groups. One group (n=30, February-April 2024) received traditional instruction, while the other (n=30, May-July 2024) was taught using the MED·SMART-AI method. The evaluation included theoretical knowledge, practical skills, case analysis performance, student learning initiative, and self-evaluation components, such as learning ability, communication skills, and self-confidence. Interns utilizing MED·SMART-AI demonstrated significantly higher scores in theoretical examinations, skills assessments, and case analysis compared to those receiving traditional instruction. Furthermore, the MED·SMART-AI group exhibited notable improvements in learning initiative (information, self-management, and learning cooperation abilities), alongside enhanced self-evaluations of learning ability, doctor-patient communication, literature retrieval, scientific research innovation, and self-confidence. These findings indicate that integrating MED·SMART-AI into undergraduate clinical anesthesia education effectively improves academic outcomes and fosters a more proactive and self-assured learning approach.

Source: Occupation and professional education.

DOI: 10.62381/o242c02

Authors: Zhen Wu, Jie Hou, Lixin Yin, Wanchao Liu, Jun Geng, Laiyou Wen

Institution: Nantong University

Language: English

Topic: Innovations in Medical Education

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDGs: Quality education, Good health and well-being

Open Access status: hybrid

Funder: Nanjing Medical University