[1]王翠娥孔长虹徐烨彪裘君娜金立明胡伟.输血信息化研究现状及启示[J].中国卫生质量管理,2022,29(03):087-90.[doi:10.13912/j.cnki.chqm.2022.29.3.23 ]
　WANG Cui'e,KONG Changhong,XU Yebiao.Research Status and Enlightenment of Blood Transfusion Informatization[J].Chinese Health Quality Management,2022,29(03):087-90.[doi:10.13912/j.cnki.chqm.2022.29.3.23 ]
点击复制

输血信息化研究现状及启示
分享到：

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

卷:
第29卷
期数:
2022年03期
页码:
087-90
栏目:
血液质量
出版日期:
2022-03-28

文章信息/Info

Title:
Research Status and Enlightenment of Blood Transfusion Informatization
作者:
王翠娥孔长虹徐烨彪裘君娜金立明胡伟
浙江省血液中心
Author(s):
WANG Cui'e; KONG Changhong; XU Yebiao
Zhejiang Blood Center
关键词:
国外; 国内; 采供血; 临床输血; 信息化
Keywords:
Foreign;  Domestic;  Blood Collecting and Supplying;  Clinical Blood Transfusion;  Informatization
分类号:
R197.6；R457
DOI:
10.13912/j.cnki.chqm.2022.29.3.23
文献标志码:
A
摘要:
目的了解国内外输血信息化领域研究现状。方法运用文献计量学方法，从文献发表年份、第一作者所在国家或省份、发文机构、刊载期刊、研究主题等方面进行分析。结果2016年-2020年国内外输血信息化领域相关文献数量整体呈上升趋势。国外以美国、英国发文量较多，国内以山东省、浙江省、广东省发文量较多。研究主题可分为5大类，分别是献血者服务、采供血业务、血站内部管理、血站信息系统建设、临床输血。结论国内外输血信息化领域研究存在一定差异。国外注重数据预测分析、人工智能技术应用，国内侧重信息系统建设、业务流程控制。输血信息化工作应考虑在理念、流程、方式、信息技术应用等方面创新发展，以实现全面数字化、全程数字化。
Abstract:
ObjectiveTo investigate the research status in the field of blood transfusion informatization at home and abroad.MethodsBibliometrics was used to analyze the year of publication, the country or province where the first author was located, the institution of publication, the publication journal and the topic of research.ResultsFrom 2016 to 2020, the literature related to blood transfusion informatization showed an upward trend. The United States and the United Kingdom published more papers, while in China, Shandong Province, Zhejiang Province and Guangdong Province published more papers. The research topics can be divided into five categories, including blood donor services, blood collection and supply business, internal management of blood stations, construction of blood station information system, and clinical blood transfusion.Conclusion There were some differences in blood transfusion informatization research at home and abroad. Foreign studies focused on data prediction and analysis, application of artificial intelligence technology, domestic studies focused on information system construction, business process control. Blood transfusion informatization should be innovated and developed in concept, process, method and application of information technology, so as to realize full digitalization and whole digitalization.

参考文献/References:

［1］李晓娟，唐冬荣，马 瑾，等.基于PubMed数据库的输血医学研究领域文献计量学分析［J］.中国输血杂志，2020，33（2）：132-135. ［2］贾桂丛，张采红，刘斯文，等.血液安全监测文献综述及启示［J］.中国卫生质量管理，2016，23（5）：84-87. ［3］Ramondt S，Zijlstra M，Kerkhof P，et al.Barriers to blood donation on social media an analysis of facebook and twitter posts［J］.Transfusion，2020，60（10）：2294-2306. ［4］Whitaker BI，Walderhaug M，Hinkins S，et al.Use of a rapid electronic survey methodology to estimate blood donors' potential exposure to emerging infectious diseases：application of a statistically representative sampling methodology to assess risk in US blood centers［J］.Transfusion，2020，60（9）：1987-1997. ［5］Zhao J，Rostgaard K，Hjalgrim H，et al.The Swedish Scandinavian donations and transfusions database (SCANDAT3-S)–50 years of donor and recipient follow-up［J］.Transfusion，2020，60（12）：3019-3027. ［6］李永花，王丽娟，贺 虹，等.北京市无偿献血负面舆论大数据分析［J］.中国输血杂志，2017，30（10）：1205-1207. ［7］李永花，王丽娟，贺 虹，等.我国无偿献血舆情大数据分析［J］.中国输血杂志，2018，31（3）：290-291. ［8］Nandi AK，Roberts DJ，Nandi AK.Prediction paradigm involving time series applied to total blood issues data from England［J］.Transfusion，2020，60（3）：535-543. ［9］Distler P，Ashford P.Twenty-five years later: has ISBT 128 fulfilled its promise［J］.Transfusion，2019，59（12）：3776-3782. ［10］唐 新，贾克刚，李秀良，等.临床用血信息闭环管理的设计与应用［J］.中国卫生质量管理，2017，24（3）：10-12. ［11］刘建辉，陈文燕，贾桂丛，等.192例输血不良反应的回顾性研究［J］.中国卫生质量管理，2018，25（6）：18-20. ［12］Huang Z，Huang C，Xie J，et al.Analysis of a large data set to identify predictors of blood transfusion in primary total hip and knee arthroplasty［J］.Transfusion，2018，58（8）：1855-1862. ［13］Knier M，Schanen M，Piefer C，et al.How to use a cloud-based search engine of a centralized donor database to identify historical antigen-negative units in hospital inventories［J］.Transfusion，2020，60（2）：414-416. ［14］Eman A，Bassem SA，Ahmed JK，et al.Blood donation prediction using artificial neural network［J］.International Journal of Academic Engineering Research，2019，3（10）：1-7. ［15］Connor JP，Raife T，Medow JE，et al.The blood utilization calculator, a target-based electronic decision support algorithm, increases the use of single-unit transfusions in a large academic medical center［J］.Transfusion，2018，58（7）：1689-1696. ［16］Nandi AK，Roberts DJ，Nandi AK.Improved long-term time-series predictions of total blood use data from England［J］.Transfusion，2020，60（10）：2307-2318. ［17］Vanneman MW，Balakrishna A，Lang AL，et al.Improving transfusion safety in the operating room with a barcode scanning system designed specifically for the surgical environment and existing electronic medical record systems:an interrupted time series analysis［J］.Anesth Analg，2020，131（4）：1217-1227.

相似文献/References:

[1]王弓茹 陈英耀*.国外医疗不良事件报告系统研究概述及启示[J].中国卫生质量管理,2016,23(05):113.[doi:10.13912/j.cnki.chqm.2016.23.5.35]
[2]冯力 陈校云 张曙欣 黄婉茹 裴治纲 宋杨杨 胡可慧.国外三种区域医疗体系转型方式比较研究及启示[J].中国卫生质量管理,2019,26(03):137.[doi:10.13912/j.cnki.chqm.2019.26.3.38]
[3]林炜炜 向准.医疗不良事件报告系统的国际比较及启示[J].中国卫生质量管理,2019,26(02):133.[doi:10.13912/j.cnki.chqm.2019.26.2.39]
[4]陈练魏瑗赵扬玉.国内外产科质量指标体系现状和启示[J].中国卫生质量管理,2022,29(05):006.[doi:10.13912/j.cnki.chqm.2022.29.5.02 ]
　CHEN Lian,WEI Yuan,ZHAO Yangyu.Present Situation and Enlightenment of Domestic and International Obstetrical Quality Index System[J].Chinese Health Quality Management,2022,29(03):006.[doi:10.13912/j.cnki.chqm.2022.29.5.02 ]

更新日期/Last Update: 2022-03-28