Future-ready medicine: Assessing the need for A.I. education in Indian undergraduate medical curriculum: A mixed method survey of student perspectives.

IF 1.4 Q3 EDUCATION, SCIENTIFIC DISCIPLINES
Journal of Education and Health Promotion Pub Date : 2025-05-30 eCollection Date: 2025-01-01 DOI:10.4103/jehp.jehp_1030_24
Smita R Sorte, Alka T Rawekar, Sachin B Rathod, Nisha Surana Gandhi
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引用次数: 0

Abstract

Background: The medical community increasingly acknowledges the necessity for undergraduate medical curricula to formally incorporate Artificial Intelligence (A.I.) into the training of medical students to equip them with the essential skills. By the time Indian medical students complete their postgraduate training, which could span nearly a decade, A.I. tools will become more common place in clinical decision-making workflows. Despite the global trend towards emphasizing A.I. education in healthcare, Indian medical institutes lack mandates from higher authorities to incorporate A.I. into their curricula. Our study aims to assess the student's perspective regarding need for A.I. Education in Indian undergraduate medical curriculum (IUMC) and the educational needs of medical students, which may facilitate the development of a curriculum that prepares them for the challenges and opportunities presented by A.I. in medicine.

Materials and methods: A cross sectional study was conducted at A.I.I.M.S, Nagpur. An exploratory survey was conducted on M.B.B.S. students from the 2019 batch to the 2023 batch using Google Forms. Data was analyzed using the Jamovi open statistical software solid version 2.3.28 (released 2024).

Result: The survey was completed by 219 medical students. In total, 91.2% had no prior training in A.I. education, 87.1% of students hold positive views on incorporating A.I. education into the IMUC, and 80% believe that A.I. training should be experiential. No Gender difference was found between male and female students regarding perceived interest in A.I. education.

Conclusion: The study highlights students' strong consensus on integrating A.I. into the IMUC, including hands-on practical applications, to enhance diagnostic skills. Medical schools should provide early exposure to A.I. Gender-neutral, experiential learning should be emphasized to meet the demands of current and future students.

面向未来的医学:评估印度本科医学课程对人工智能教育的需求:对学生观点的混合方法调查。
背景:医学界越来越认识到本科医学课程将人工智能(A.I.)正式纳入医学生培训的必要性,以使他们具备基本技能。等到印度医科学生完成研究生培训(可能会持续近十年)时,人工智能工具将在临床决策工作流程中变得更加普遍。尽管全球趋势是在医疗保健领域强调人工智能教育,但印度的医疗机构缺乏上级当局将人工智能纳入其课程的授权。我们的研究旨在评估学生对印度本科医学课程(IUMC)中人工智能教育需求的看法,以及医学生的教育需求,这可能有助于制定课程,使他们为医学中人工智能带来的挑战和机遇做好准备。材料和方法:在印度那格浦尔的a.i.i.m.s.进行了一项横断面研究。采用谷歌表格对2019 - 2023届mba学生进行了探索性调查。数据分析使用Jamovi开放统计软件固体版本2.3.28(发布于2024年)。结果:共219名医学生完成问卷调查。总的来说,91.2%的学生之前没有接受过人工智能教育的培训,87.1%的学生对将人工智能教育纳入IMUC持积极态度,80%的学生认为人工智能培训应该是体验式的。在对人工智能教育的感知兴趣方面,男女学生之间没有性别差异。结论:该研究突出了学生们对将人工智能融入IMUC的强烈共识,包括实际应用,以提高诊断技能。医学院应该提供人工智能的早期接触,应该强调性别中立的体验式学习,以满足当前和未来学生的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.60
自引率
21.40%
发文量
218
审稿时长
34 weeks
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