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冠状动脉CT血管成像人工智能辅助诊断技术的成本分析
引用本文:史黎炜,邱英鹏,顾柏洋,罗南,杨正汉,游茂,刘克军,付强,肖月.冠状动脉CT血管成像人工智能辅助诊断技术的成本分析[J].医学信息学杂志,2023,44(10):22-27.
作者姓名:史黎炜  邱英鹏  顾柏洋  罗南  杨正汉  游茂  刘克军  付强  肖月
作者单位:国家卫生健康委卫生发展研究中心 北京 100044;哈尔滨医科大学卫生管理学院 哈尔滨 150081;.首都医科大学附属北京友谊医院 北京 100050
基金项目:科技创新2030——“新一代人工智能”重大项目(项目编号:2020AAA0105002)。
摘    要:目的/意义 测算冠状动脉CT血管成像人工智能辅助诊断技术(artificial intelligence aided diagnosis technology for coronary computed tomography angiography, AI-CCTA)临床使用成本,开展样本机构技术应用运行分析。方法/过程 采用作业成本法对样本医院AI-CCTA成本进行测算分析,采用本量利分析法对技术应用进行运行分析。结果/结论 AI-CCTA利用AI技术可节省宝贵的诊断医师人力资源,提高工作效率,降低次均检查成本,具有一定临床应用优势,随着AI应用范围的扩大,可改善医疗机构经济运行情况。

关 键 词:人工智能辅助诊断  冠状动脉CT血管成像  成本测算  本量利分析
修稿时间:2023/10/9 0:00:00

The Cost Estimation of Artificial Intelligence Aided Diagnosis Technology for Coronary Computed Tomography Angiography
SHI Liwei,QIU Yingpeng,GU Baiyang,LUO Nan,YANG Zhenghan,YOU Mao,LIU Kejun,FU Qiang,XIAO Yue.The Cost Estimation of Artificial Intelligence Aided Diagnosis Technology for Coronary Computed Tomography Angiography[J].Journal of Medical Informatics,2023,44(10):22-27.
Authors:SHI Liwei  QIU Yingpeng  GU Baiyang  LUO Nan  YANG Zhenghan  YOU Mao  LIU Kejun  FU Qiang  XIAO Yue
Abstract:Purpose/Significance To measure the clinical cost of artificial intelligence aided diagnosis technology for coronary computed tomography angiography (AI-CCTA), and to carry out technical application and operation analysis in sample institutions. Method/Process Activity-based costing is used to estimate and analyze the cost of coronary computed tomography angiography (CCTA) and AI-CCTA, and the operations of the technology is analyzed by cost-volume-profit analysis. Result/Conclusion AI-CCTA can save valuable human resources of diagnostic doctors, improve work efficiency and reduce the cost, and it has certain advantages in clinical application. With the expansion of AI application, the economic operation of medical institutions can be improved.
Keywords:artificial intelligence (AI) aided diagnosis  coronary computed tomography angiography (CCTA)  cost estimation  cost-volume-profit analysis
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