应用人工智能提升单病种质量管理水平  

Improving the Quality Management Level of Single Disease Through Artificial Intelligence

作　　者：潘伟华[3] 许健[1] 穆嘉盛[1] 黄宇飞[1] 沈鸿楼 汪鑫 欧阳田岽 PAN Weihua;XU Jian;MU Jiasheng(不详;Xinhua Hospital,School of Medicine,Shanghai Jiao Tong University,Shanghai,200001,China)

机构地区：[1]上海交通大学医学院附属新华医院,上海200001 [2]医惠科技有限公司病种科研中心,浙江杭州310051 [3]上海交通大学医学院附属新华医院大数据中心,上海200001

出　　处：《中国卫生质量管理》2022年第7期19-21,共3页Chinese Health Quality Management

摘　　要：针对我国单病种质量管理中存在的数据上报不规范、对过程质控干预不足、人工统计数据滞后等问题,基于人工智能辅助技术,提出了构建单病种队列数据库与生物样本全息库及多模态真实世界认知体系,通过人工智能提升单病种质量管理水平的思路。Aiming at the problems of single disease quality management in China,such as non-standard data reporting,insufficient intervention in process quality control,and manual statistical data lag,based on the assistive technology of artificial intelligence,this study puts forward ideas of building a data queue of single diseases,biological samples holographic libraries and multimodal cognitive system of the real world,improving the quality management level of single disease by artificial intelligence.

关 键 词：人工智能 单病种 单病种质量管理 医疗数据 信息化 

分 类 号：R197.323[医药卫生—卫生事业管理]