中国卫生事业管理2026，Vol.43Issue(7)：727-730,814,5.
基于医务人员视角的医疗人工智能应用效果评测体系构建与实施路径
Construction and Implementation of the Evaluation Framework for Medical Artificial Intelligence Applications from the Perspective of Healthcare Professionals
摘要
Abstract
The weak primary care capabilities and uneven distribution of high-quality medical resources are major challen-ges facing by the healthcare sector.Artificial intelligence(AI)has emerged as a significant pathway to innovate medical service models and enhance service efficiency.However,it faces core issues such as unclear application effectiveness and a disconnect from clinical needs.From the perspective of medical professionals,a three-tiered evaluation framework was constructed,encom-passing ＂model,system,and application＂.The model layer validates the algorithmic efficacy through three indicators of founda-tional performance,generalizability,and robustness.The system layer evaluates the application outcomes of medical AI systems from aspects such as system integration compatibility,system performance,and security safeguards.The application layer focuses on clinical usability adaptation,clinical outcome compliance,and clinical value enhancement,verifying the practical utility of AI applications in real-world diagnostic and therapeutic settings.Grounded in the core usage needs of medical professionals,this e-valuation framework is designed to adapt to high-risk,routine,and primary care scenarios with varying requirements.The imple-mentation pathway for evaluation is also outlined,the existing evaluation processes optimized,which provides decision-making sup-port for medical institutions in selecting AI applications,and promotes the standardized development of the medical AI industry.关键词
医疗健康/人工智能/评测体系/应用效果/医务人员Key words
healthcare/Artificial Intelligence/evaluation system/application effectiveness/healthcare professionals分类
医药卫生引用本文复制引用
崔芳芳..基于医务人员视角的医疗人工智能应用效果评测体系构建与实施路径[J].中国卫生事业管理,2026,43(7):727-730,814,5.基金项目
科技创新2030"新一代人工智能"重大专项"自适应智能辅助诊疗开放平台"(2022ZD0160704) （2022ZD0160704）
河南省医学科技攻关省部共建重点项目"基于多模态特征融合的乳腺癌超声智能筛查技术研究"(SBGJ202402097) （SBGJ202402097）
郑州市基础研究与应用基础研究项目"'互联网+'背景下乳腺癌疾病负担评估及远程干预模式研究"(2024ZZJCYJ017) （2024ZZJCYJ017）
河南省医学科学院基本科研业务费项目"基于多模态数据融合的乳腺癌病理智能辅助诊断技术研究"(JBKY250308) （JBKY250308）
