医疗资源均衡布局背景下人工智能影像管理路径体系价值探讨  

Exploring the Value of AI Image Management Path System under the Background of Balanced Layout of Medical Resources

作　　者：李晓婷[1] 张晓燕[1] 孙应实[1] 崔湧[1] 杨铮[1] Li Xiaoting;Zhang Xiaoyan;Sun Yingshi(Peking University Cancer Hospital/Beijing Institute for Cancer Research,100142,Beijing,China)

机构地区：[1]北京大学肿瘤医院暨北京市肿瘤防治研究所,北京100142

出　　处：《中国医院管理》2023年第12期77-79,共3页Chinese Hospital Management

基　　金：北京市医院管理中心“登峰”计划专项(DFL20191103)。

摘　　要：北京大学肿瘤医院医学影像科于2021—2022年联合人工智能(Artificial Intelligence,AI)技术团队共同开展顶层设计,建立基于AI应用的医学影像管理优化路径体系。该体系能满足智慧诊疗、科研管理、教学管理、运营管理和考核预警等方面的需求。研究初步论证该体系在快速提供同质化优质诊疗服务、提升管理服务效率和质量、提高临床科研教学能力等方面的价值和作用,路径体系的建立为优质医疗资源扩容下沉和区域均衡布局工作提供了优质工具,推广应用前景良好。The Department of Radilogy of Peking University Cancer Hospital collaborated with the AI technology team to carry out top-level design and establish an AI based medical imaging management optimization path system during 2021-2022;This system can meet the needs of intelligent diagnosis and treatment,scientific research management,teaching management,operation management,and assessment warning.It preliminarily demonstrates the value and role of this system in quickly providing homogeneous and high-quality diagnosis and treatment services,improving management service efficiency and quality,and improving clinical research and teaching capabilities.It is of great significance for areas with scarce high-quality medical resources and underdeveloped grassroots areas with weak medical diagnosis and treatment capabilities.The establishment of this AI based medical imaging management optimization path system provides a high-quality tool for the expansion and sinking of high-quality medical resources and regional balanced layout work,and has good prospects for promotion and application.

关 键 词：人工智能 医学影像 路径体系 

分 类 号：R197.323.6[医药卫生—卫生事业管理]