基于电子健康档案相关研究现状、热点与前沿知识可视化分析
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摘要
目的了解国内外基于电子健康档案和电子病历相关研究知识结构与发展动向,分析研究热点与前沿。方法通过检索2008-2017近十年间Web of Science和CNKI数据库中相关文献获得题录数据,采用文献计量学与知识可视化方法,借助CitespaceⅢ作为知识图谱绘制工具。结果共获得国外相关研究文献10 347篇,国内相关研究5 406篇,从年发文量、作者与机构分布进行研究现状计量可视化分析,通过绘制关键词图谱,总结近年来研究侧重点与前沿趋势。结论发文量有着容量大且逐年增长的特点,国内研究相对增长平缓;国外研究涉及层面广泛,研究问题深入,关注热点从保健服务质量和回顾性流行病学研究到临床知识发现与智能决策支持;国内研究侧重于信息化管理及建设,近年来聚焦于档案信息的互联互通技术与社区卫生服务模式的改进,以及基于中文电子病历的智慧医疗研究,为医疗机构智能化、精细化管理提供支撑。相关研究尚需更深入的探索和更密切的合作。
Objective To understand the knowledge structure and development trends of related research on electronic medical records and electronic health records at home and abroad. Methods Bibliographical data of relevant literature in the WOS and CNKI database from 2008-2017 were obtained and analyzed with methods of bibliometrics and knowledge visualization. Citespace III was used as a knowledge mapping tool. Results A total of 10 347 foreign research literature and 5406 related domestic studies were collected. The research state was concluded from aspects of time sequence,core authors and institutions. The research hot points and frontiers in recent years were summarized through keywords knowledge mapping analysis. Conclusion Our analysis indicates that research related to electronic medical records has a steady growth trend,but the domestic research is growing relatively slow. Foreign research involves a wide range of issues and focuses on hot topics from the applications in health care service,an information technology research and retrospective medical research to clinical knowledge discovery and intelligent decision support. While domestic research focuses on hospital informationization. In recent years,concentrating on the improvement of interconnected technologies and community health service models for archival information,as well as smart medical research based on Chinese electronic medical records provide support for intelligent and refined management of medical institutions. Related research still requires more in-depth exploration and closer cooperation.
Objective To understand the knowledge structure and development trends of related research on electronic medical records and electronic health records at home and abroad. Methods Bibliographical data of relevant literature in the WOS and CNKI database from 2008-2017 were obtained and analyzed with methods of bibliometrics and knowledge visualization. Citespace III was used as a knowledge mapping tool. Results A total of 10 347 foreign research literature and 5406 related domestic studies were collected. The research state was concluded from aspects of time sequence,core authors and institutions. The research hot points and frontiers in recent years were summarized through keywords knowledge mapping analysis. Conclusion Our analysis indicates that research related to electronic medical records has a steady growth trend,but the domestic research is growing relatively slow. Foreign research involves a wide range of issues and focuses on hot topics from the applications in health care service,an information technology research and retrospective medical research to clinical knowledge discovery and intelligent decision support. While domestic research focuses on hospital informationization. In recent years,concentrating on the improvement of interconnected technologies and community health service models for archival information,as well as smart medical research based on Chinese electronic medical records provide support for intelligent and refined management of medical institutions. Related research still requires more in-depth exploration and closer cooperation.
引文
[1]中华人民共和国中央人民政府.中共中央国务院印发《“健康中国2030”规划纲要》[EB/OL].[2018-11-21]. http://www. gov. cn/xinwen/2016-10/25/content_5124174. htm.
[2]中华人民共和国中央人民政府.卫生部关于印发《电子病历基本规范(试行)》的通知[EB/OL].[2018-11-21]. http://www. gov. cn/zwgk/2010-03/04/content_1547432. htm.
[3]穆芳洁.国内外电子病历的发展概况及思考[J].中国病案,2014,15(9):40-42.
[4] Chen CM,Chen Y,et al. Towards an explanatory and computational theory of scientific discovery[J]. Journal of Informetrics,2009,3(3):191-209.
[5] Chen CM. CiteSpace II:Detecting and visualizing emerging trends and transient patterns in scientific literature[J]. Journal of the American Society for Information Science and Technology,2006,57(3):359-377.
[6] O’connor PJ,Sperl-Hillen JM,Rush WA,et al. Impact of electronic health record clinical decision support on diabetes care:a randomized trial[J]. Annals of Family Medicine,2011,9(1):12-21.
[7] Boonstra A,Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions[J]. BMC Health Services Research,2010,10(1):231.
[8] Anderson JL,May HT,Horne BD,et al. Relation of vitamin D deficiency to cardiovascular risk factors,disease status,and incident events in a general healthcare population[J]. The American Journal of Cardiology,2010,106(7):963-968.
[9] Herrett E,Gallagher AM,Bhaskaran KA,et al. Data resource profile:clinical practice research datalink(CPRD)[J].International Journal of Epidemiology,2015,44(3):827-836.
[10] Anderson HV,Weintraub WS,Radford MJ,et al. Standardized cardiovascular data for clinical research,registries,and patient care:a report from the Data Standards Workgroup of the National Cardiovascular Research Infrastructure project[J]. Journal of the American College of Cardiology,2013,61(18):1835-1846.
[11]王占明,黄志中,王景杰,等.临床路径管理与电子病历结合应用研究[J].医疗卫生装备,2008,29(8):50-51.
[12]武芳,伍祥林,刘海霞. PDCA循环在病历质量管理中的应用实例研究[J].现代预防医学,2015,42(9):1636-1639.
[13]时松和,施学忠,杨永利,等.基于数据挖掘的艾滋病综合防治居民健康档案管理信息系统设计与实现[J].现代预防医学,2013,40(16):2953-2957.
[14]姚刚,张晓祥,汪火明.基于省级平台的远程医疗系统设计[J].中国医院管理,2013,33(2):70-71.
[15] Denny JC,Ritchie MD,Basford MA,et al. PheWAS:demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations[J]. Bioinformatics,2010,26(9):1205-1210.
[16] Savova GK,Olson JE,Murphy SP,et al. Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record[J]. Journal of the American Medical Informatics Association:JAMIA,2012,19(e1):e83-e89.
[17] Castaneda C,Nalley K,Mannion C,et al. Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine[J]. Journal of Clinical Bioinformatics,2015,5:4.
[18] Somnay YR,Craven M,Mccoy KL,et al. Improving diagnostic recognition of primary hyperparathyroidism with machine learning[J]. Surgery,2017,161(4):1113-1121.
[19]张军亮.云环境下的个人健康档案服务研究[J].兰台世界,2014(23):32-33.
[20]郑西川,孙宇,于广军,等.基于物联网的智慧医疗信息化10大关键技术研究[J].医学信息学杂志,2013,34(1):10-14,34.
[21]杨锦锋,于秋滨,关毅,等.电子病历命名实体识别和实体关系抽取研究综述[J].自动化学报,2014,40(8):1537-1562.
[22]刘永斌,魏明月,于广军,等.基于临床决策支持的智能化电子病历集成平台建设与实践[J].中国医院,2017,21(8):8-11.
[2]中华人民共和国中央人民政府.卫生部关于印发《电子病历基本规范(试行)》的通知[EB/OL].[2018-11-21]. http://www. gov. cn/zwgk/2010-03/04/content_1547432. htm.
[3]穆芳洁.国内外电子病历的发展概况及思考[J].中国病案,2014,15(9):40-42.
[4] Chen CM,Chen Y,et al. Towards an explanatory and computational theory of scientific discovery[J]. Journal of Informetrics,2009,3(3):191-209.
[5] Chen CM. CiteSpace II:Detecting and visualizing emerging trends and transient patterns in scientific literature[J]. Journal of the American Society for Information Science and Technology,2006,57(3):359-377.
[6] O’connor PJ,Sperl-Hillen JM,Rush WA,et al. Impact of electronic health record clinical decision support on diabetes care:a randomized trial[J]. Annals of Family Medicine,2011,9(1):12-21.
[7] Boonstra A,Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions[J]. BMC Health Services Research,2010,10(1):231.
[8] Anderson JL,May HT,Horne BD,et al. Relation of vitamin D deficiency to cardiovascular risk factors,disease status,and incident events in a general healthcare population[J]. The American Journal of Cardiology,2010,106(7):963-968.
[9] Herrett E,Gallagher AM,Bhaskaran KA,et al. Data resource profile:clinical practice research datalink(CPRD)[J].International Journal of Epidemiology,2015,44(3):827-836.
[10] Anderson HV,Weintraub WS,Radford MJ,et al. Standardized cardiovascular data for clinical research,registries,and patient care:a report from the Data Standards Workgroup of the National Cardiovascular Research Infrastructure project[J]. Journal of the American College of Cardiology,2013,61(18):1835-1846.
[11]王占明,黄志中,王景杰,等.临床路径管理与电子病历结合应用研究[J].医疗卫生装备,2008,29(8):50-51.
[12]武芳,伍祥林,刘海霞. PDCA循环在病历质量管理中的应用实例研究[J].现代预防医学,2015,42(9):1636-1639.
[13]时松和,施学忠,杨永利,等.基于数据挖掘的艾滋病综合防治居民健康档案管理信息系统设计与实现[J].现代预防医学,2013,40(16):2953-2957.
[14]姚刚,张晓祥,汪火明.基于省级平台的远程医疗系统设计[J].中国医院管理,2013,33(2):70-71.
[15] Denny JC,Ritchie MD,Basford MA,et al. PheWAS:demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations[J]. Bioinformatics,2010,26(9):1205-1210.
[16] Savova GK,Olson JE,Murphy SP,et al. Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record[J]. Journal of the American Medical Informatics Association:JAMIA,2012,19(e1):e83-e89.
[17] Castaneda C,Nalley K,Mannion C,et al. Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine[J]. Journal of Clinical Bioinformatics,2015,5:4.
[18] Somnay YR,Craven M,Mccoy KL,et al. Improving diagnostic recognition of primary hyperparathyroidism with machine learning[J]. Surgery,2017,161(4):1113-1121.
[19]张军亮.云环境下的个人健康档案服务研究[J].兰台世界,2014(23):32-33.
[20]郑西川,孙宇,于广军,等.基于物联网的智慧医疗信息化10大关键技术研究[J].医学信息学杂志,2013,34(1):10-14,34.
[21]杨锦锋,于秋滨,关毅,等.电子病历命名实体识别和实体关系抽取研究综述[J].自动化学报,2014,40(8):1537-1562.
[22]刘永斌,魏明月,于广军,等.基于临床决策支持的智能化电子病历集成平台建设与实践[J].中国医院,2017,21(8):8-11.