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Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey
Journal of Medical Education and Curricular Development Pub Date : 2021-06-23 , DOI: 10.1177/23821205211024078
Elena A Wood 1 , Brittany L Ange 1 , D Douglas Miller 1
Affiliation  

Background:

The effects of Artificial Intelligence (AI) technology applications are already felt in healthcare in general and in the practice of medicine in the disciplines of radiology, pathology, ophthalmology, and oncology. The expanding interface between digital data science, emerging AI technologies and healthcare is creating a demand for AI technology literacy in health professions.

Objective:

To assess medical student and faculty attitudes toward AI, in preparation for teaching AI foundations and data science applications in clinical practice in an integrated medical education curriculum.

Methods:

An online 15-question semi-structured survey was distributed among medical students and faculty. The questionnaire consisted of 3 parts: participant’s background, AI awareness, and attitudes toward AI applications in medicine.

Results:

A total of 121 medical students and 52 clinical faculty completed the survey. Only 30% of students and 50% of faculty responded that they were aware of AI topics in medicine. The majority of students (72%) and faculty (59%) learned about AI from the media. Faculty were more likely to report that they did not have a basic understanding of AI technologies (χ2, P = .031). Students were more interested in AI in patient care training, while faculty were more interested in AI in teaching training (χ2, P = .001). Additionally, students and faculty reported comparable attitudes toward AI, limited AI literacy and time constraints in the curriculum. There is interest in broad and deep AI topics. Our findings in medical learners and teaching faculty parallel other published professional groups’ AI survey results.

Conclusions:

The survey conclusively proved interest among medical students and faculty in AI technology in general, and in its applications in healthcare and medicine. The study was conducted at a single institution. This survey serves as a foundation for other medical schools interested in developing a collaborative programming approach to address AI literacy in medical education.



中文翻译:

我们准备好将人工智能素养整合到医学院课程中了吗:学生和教师调查

背景:

人工智能 (AI) 技术应用的影响已经在一般医疗保健以及放射学、病理学、眼科和肿瘤学学科的医学实践中得到体现。数字数据科学、新兴人工智能技术和医疗保健之间不断扩大的接口正在创造对卫生专业人工智能技术素养的需求。

客观的:

评估医学生和教职员工对人工智能的态度,为在综合医学教育课程中教授人工智能基础和临床实践中的数据科学应用做准备。

方法:

在医学生和教职员工中分发了一项包含 15 个问题的半结构化在线调查。问卷由3部分组成:参与者的背景、人工智能意识以及对人工智能在医学领域应用的态度。

结果:

共有 121 名医学生和 52 名临床教师完成了调查。只有 30% 的学生和 50% 的教师回答说他们知道医学中的 AI 主题。大多数学生 (72%) 和教师 (59%) 从媒体了解人工智能。教师更有可能报告他们对人工智能技术没有基本的了解(χ 2P  = .031)。学生在患者护理培训中对人工智能更感兴趣,而教师在教学培训中对人工智能更感兴趣(χ 2 , P = .001)。此外,学生和教师报告了对人工智能的类似态度、有限的人工智能素养和课程时间限制。人们对广泛而深入的人工智能主题很感兴趣。我们在医学学习者和教学人员中的发现与其他已发表的专业团体的 AI 调查结果相似。

结论:

该调查最终证明了医学生和教职员工对人工智能技术及其在医疗保健和医学中的应用的兴趣。该研究在单一机构进行。该调查为其他有兴趣开发协作编程方法以解决医学教育中的人工智能素养的医学院奠定了基础。

更新日期:2021-06-23
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