绘制人工智能和数字技术在卫生技术评估中的整合:全球知识和实践的范围审查协议
Mohammed Alkhaldi1,2, Rima Kachach3, Malak Alrubaie3
1Public Health Department, School of Health Sciences and Psychology, Canadian University of Dubai, Dubai, UAE. mohammed.alkhaldi@cud.ac.ae.
Systematic reviews
|February 20, 2026
概括
本范围审查绘制了人工智能 (AI) 和数字技术 (DTs) 在卫生技术评估 (HTA) 中的使用情况. 它确定了将这些创新纳入全球HTA实践的关键障碍和推动因素.
科学领域:
- 医疗技术评估 (HTA) 是指对医疗技术进行评估.
- 数字卫生技术数字卫生技术
- 人工智能 (AI) 是一种人工智能.
背景情况:
- 卫生技术评估 (HTA) 对全球卫生政策和资源分配至关重要.
- 数字医疗技术和人工智能的快速发展需要重新评估传统的HTA流程.
- 目前的HTA方法正在探索人工智能和自动化,决策支持和证据合成的数字工具.
研究的目的:
- 绘制人工智能和数字技术 (DT) 在HTA中的整合的全球格局.
- 确定创新的技术解决方案,整合模式和相关的治理考虑.
- 确定影响在HTA中采用和应用AI/DTs的关键障碍和推动因素.
主要方法:
- 将使用Arksey和O'Malley框架进行范围审查,并通过JBI建议进行增强.
- 搜索将涵盖主要的数据库 (Medline,Embase,Scopus等). 和灰色文学从2020年到2025年.
- 在HTA中详细介绍AI/数字化的合格研究将经过双重独立选,数据提取和质量评估.
主要成果:
- 该审查将绘制数字化,自动化和人工智能的整合到HTA实践中的地图.
- 将突出影响在HTA中采用AI/DT的关键推动者和障碍.
- 将确定在HTA内部应用AI和DTs的知识差距.
结论:
- 结果将指导研究人员,政策制定者和HTA机构在AI/DT整合方面.
- 该审查支持开发人工智能增强的HTA的未来研究和实施策略.
- 洞察力旨在改善全球卫生资源分配中的基于证据的决策.
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