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OA

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.