[1]孟岩孙雪梅王雪冀冰心苏金菲靳萍李姗姗.人工智能技术应用于电子病历质控的研究与思考[J].中国卫生质量管理,2021,28(12):063-65.[doi:10.13912/j.cnki.chqm.2021.28.12.17 ]
　MENG Yan,SUN Xuemei,WANG Xue.Research and Thinking on the Application of Artificial Intelligence Technology in Quality Control of Electronic Medical Records[J].Chinese Health Quality Management,2021,28(12):063-65.[doi:10.13912/j.cnki.chqm.2021.28.12.17 ]
点击复制

人工智能技术应用于电子病历质控的研究与思考
分享到：

《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R]

卷:
第28卷
期数:
2021年12期
页码:
063-65
栏目:
质量与信息化
出版日期:
2021-12-28

文章信息/Info

Title:
Research and Thinking on the Application of Artificial Intelligence Technology in Quality Control of Electronic Medical Records
作者:
孟岩孙雪梅王雪冀冰心苏金菲靳萍李姗姗
首都医科大学宣武医院
Author(s):
MENG Yan; SUN Xuemei; WANG Xue
Xuanwu Hospital Capital Medical University
关键词:
人工智能; 电子病历质控; 机器学习; 自然语言处理（NLP）; 质量与信息化
Keywords:
Artificial Intelligence;  Electronic Medical Records Quality Control;  Machine Learning;  Natural Language Processing (NLP);  Quality and Informatization
分类号:
R197.324
DOI:
10.13912/j.cnki.chqm.2021.28.12.17
文献标志码:
A
摘要:
针对电子病历质控存在的问题，阐述了机器学习、自然语言处理（NLP）、图像识别、专家系统等人工智能核心技术。论述了质控专家与人工智能质控的关系、人工智能质控目标、人工智能质控隐私保护等问题，以期为提高电子病历质控水平提供参考。
Abstract:
In view of the problems existing in the quality control of electronic medical records, the paper expounded artificial intelligence core technologies such as machine learning, Natural Language Processing (NLP), image recognition and expert system. It discussed the relationship between quality control experts and artificial intelligence quality control, the objective of artificial intelligence quality control, and the privacy protection of artificial intelligence quality control, in order to provide reference for improving the quality control level of electronic medical records.

参考文献/References:

［1］李卉.基于电子病历系统评级促进医院信息化建设［J］.数字通信世界,2020（11）:181-182. ［2］穆榕榕,全宇,高兴,等.基于电子病历自反馈式质控平台的实践应用［J］.中国卫生质量管理,2018,25（3）:82-84. ［3］谢寿姣.绩效管理在护理电子病历质控中的应用［J］.电子技术与软件工程,2019(13):191-191. ［4］Turing AM.Computing machinery and intelligence［J］. Mind,1950,59(236):433-460. ［5］Chen Y,Elenee Argentinis J,Weber G. IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research［J］. Clinical Therapeutics, 2016, 38(4):688-701. ［6］Chen L,Song L,Shao Y,et al.Using natural language processing to extract clinically useful information from Chinese electronic medical records［J］.International Journal of Medical Informatics, 2019, 124:6-12. ［7］Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence［J］. Nature Medicine, 2019,25:433-438. ［8］陈强,丁腊春,王译,等.智能电子病历质控系统研究与应用［J］.医学信息学杂志,2020，41(6)：63-65,89. ［9］Nguyen G,Dlugolinsky S,Bobák M,et al. Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey［J］.Artificial Intelligence Review, 2019.52(1):77-124. ［10］林琳,王韬,邓超颖.智能化病历内涵质控平台设计及应用［J］.中国数字医学, 2019,14(11):48-50,112. ［11］Esteva A,Kuprel B,Novoa RA,et al.Dermatologist-level classification of skin cancer with deep neural networks［J］.Nature,2017,42(9):115-118. ［12］Cicero M,Bilbily A,Colak E,et al.Training and validating a deep convolutional neural network for computer-aided detection and classification of abnormalities on frontal chest radiographs［J］.Invest Radiol,2017,52(5):281-287. ［13］Setio AA,Ciompi F,Litjens G,et al.Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks［J］.IEEE Trans Med Imaging,2016,35(5):1160-1169. ［14］黄皓,颜子夜.面向新型冠状病毒肺炎临床需求的智能影像评价系统-人工智能在新型冠状病毒肺炎诊断中的应用［J］.中国医疗设备,2020,35(6):67-68. ［15］王晓林,王晓炜,雷娟,等.宁夏回族自治区肺结核人工智能影像筛查系统的应用［J］.中国数字医学,2020,15(4):39-40. ［16］李梵若,李忠.基于模糊证据推理的医疗诊断专家系统的设计与实现［J］.智能计算机与应用, 2019, 9(4):13-15,20. ［17］肖鹏, 刘娜, 季长清,等.基于相容性分析的医疗诊断专家系统［J］.计算机工程与应用, 2018, 54(23):7. ［18］中华医学会影像技术分会，中华医学会反射学分会.数字X线摄影检查技术专家共识［J］.中华放射学杂志,2016,50(7):483-494. ［19］付海鸿,吴文辉.九峰医疗胸部数字X线摄影人工智能图像质量控制专家共识［J］.中国医疗设备,2021,36(1):11-13. ［20］张寒.公众理解视域下医疗AI的应用及治理［J］.科普研究,2020,86(3):20-27. ［21］黄建隆, 郭胜杰, 孙世传. 基于人工智能的病历质控系统研究［J］.中国数字医学, 2018, 13(10):39，47-48. ［22］孟岩, 罗德芳. 基于临床知识库的电子病历智能化应用研究［J］.中国卫生信息管理杂志, 2019, 16(5):601-604.

相似文献/References:

[1]蔡斌孔林羽.基于人工智能的发热门诊信息化随访系统建设[J].中国卫生质量管理,2021,28(06):021.[doi:10.13912/j.cnki.chqm.2021.28.6.06 ]
　CAI Bin,KONG Linyu.Construction of Artificial Intelligence-Based Informatization Follow-Up System for Fever Clinic[J].Chinese Health Quality Management,2021,28(12):021.[doi:10.13912/j.cnki.chqm.2021.28.6.06 ]
[2]蓝淳愉曹磊.基于人工智能的VTE管控平台建设[J].中国卫生质量管理,2021,28(06):079.[doi:10.13912/j.cnki.chqm.2021.28.6.21 ]
　LAN Chunyu,CAO Lei.Construction of VTE Management and Control Platform Based on Artificial Intelligence[J].Chinese Health Quality Management,2021,28(12):079.[doi:10.13912/j.cnki.chqm.2021.28.6.21 ]
[3]于文娟陈麟凤 谈春荣田宗梅陈岩王岩刘璇何欣刘思琪.临床输血智能管理系统应用效果分析[J].中国卫生质量管理,2021,28(06):095.[doi:10.13912/j.cnki.chqm.2021.28.6.25 ]
　YU Wenjuan,CHEN Linfeng,TAN Chunrong.Application Effect Analysis of Intelligent Management System for Clinical Blood Transfusion[J].Chinese Health Quality Management,2021,28(12):095.[doi:10.13912/j.cnki.chqm.2021.28.6.25 ]
[4]丁明明蔡士轩胡龙军侯冷晨钱明平张戟杨佳芳黄伟 史福娴汪佳雯牛培勤陈恳陈跃军.病案首页智能控制系统设计及应用[J].中国卫生质量管理,2021,28(10):062.[doi:10.13912/j.cnki.chqm.2021.28.10.17 ]
　DING Mingming,CAI Shixuan,HU Longjun.Design and Application of Intelligent Control System of Medical Record Home Page[J].Chinese Health Quality Management,2021,28(12):062.[doi:10.13912/j.cnki.chqm.2021.28.10.17 ]
[5]潘伟华许健穆嘉盛黄宇飞沈鸿楼汪鑫欧阳田岽.应用人工智能提升单病种质量管理水平[J].中国卫生质量管理,2022,29(07):019.[doi:10.13912/j.cnki.chqm.2022.29.7.06 ]
　PAN Weihua,XU Jian,MU Jiasheng.Improving the Quality Management Level of Single Disease Through Artificial Intelligence[J].Chinese Health Quality Management,2022,29(12):019.[doi:10.13912/j.cnki.chqm.2022.29.7.06 ]
[6]郭丝锦 黄美玲 曹小花 王廷.人工智能语音随访系统在乳腺癌日间手术患者随访中的应用分析[J].中国卫生质量管理,2024,31(10):024.[doi:10.13912/j.cnki.chqm.2024.31.10.06]
　GUO Sijin,HUANG Meiling,CAO Xiaohua.Application Analysis of Artificial Intelligence Voice Follow-up System in the Follow-up of Breast Cancer Patients undergoing Day Surgery[J].Chinese Health Quality Management,2024,31(12):024.[doi:10.13912/j.cnki.chqm.2024.31.10.06]

更新日期/Last Update: 2021-12-28