医疗保健中的人工智能教育移动应用程序的内容和结构需求评估:混合方法研究
Seyyedeh Fatemeh Mousavi Baigi1,2,3, Reyhane Norouzi Aval1,2, Masoumeh Sarbaz1
1Department of Health Information Technology, School of Paramedical and Rehabilitation Sciences, Mashhad University of Medical Sciences, Mashhad, Iran, Islamic Republic of.
BMC medical education
|December 30, 2025
概括
本研究概述了医疗保健中人工智能教育应用程序的基本内容和功能. 它强调需要交互式,个性化的学习来为专业人员准备人工智能集成.
科学领域:
- 医疗保健教育 医疗保健教育
- 人工智能的人工智能
- 移动学习 移动学习
背景情况:
- 人工智能 (AI) 在医疗保健中的整合需要专业人员的专业教育.
- 现有的人工智能教育应用程序缺乏针对医疗保健环境的领域特异性.
- 要为医疗保健部门开发有效的AI学习工具,需要采用结构化的方法.
研究的目的:
- 确定和优先考虑核心内容和高质量的移动应用程序的结构要求,在医疗保健中教授AI概念.
- 建立一个以证据为基础的框架,用于开发针对医疗保健需求的AI教育工具.
主要方法:
- 一种混合方法的方法,结合学术文章和AI教育应用程序的系统审查.
- 医学信息学和健康信息管理专家对初步内容框架的专家验证.
- 结构性需求评估与医疗保健学生使用问卷和对开放式答案的主题分析.
主要成果:
- 确定了人工智能在医疗保健教育中的11个基本内容领域,包括伦理学和实际应用.
- 应用程序审查显示质量低 (MARS评分为2.92/5) 存在连贯性,交互性和隐私方面的缺陷.
- 医疗保健学生优先考虑交互式,离线式和个性化的学习功能 (得分>4.76/5).
结论:
- 为医疗保健人工智能教育应用程序开发了一个经过验证的框架,包含11个内容域和20个结构特征.
- 这些发现强调需要以用户为中心的数字工具,以支持在临床实践中负责任地采用人工智能.
- 这个框架解决了针对医疗保健学生和专业人员的专业人工智能教育的差距.
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