基于智能电子标签系统在疫苗管理中的应用效果分析

王军; 刘晓华; 梁佳志; 陈旭东; 陈俊虎; 黄竹航; 朱芳军

doi:10.16766/j.cnki.issn.1674-4152.004383

基于智能电子标签系统在疫苗管理中的应用效果分析

doi: 10.16766/j.cnki.issn.1674-4152.004383

王军¹,
刘晓华²,
梁佳志¹,
陈旭东¹,
陈俊虎^{2, 3, ,},
黄竹航³,
朱芳军⁴

1.
广州市海珠区疾病预防控制中心，广东广州 510288
2.
克孜勒苏柯尔克孜自治州疾病预防控制中心，新疆阿图什 845350
3.
广东省生物制品与药物研究所，广东广州 510440
4.
苏州冷王网络科技有限公司，江苏苏州 215125

基金项目:

广东省医学科学技术研究基金项目 A2023040

中国肝炎防治基金会项目 YGFK20210046

中华预防医学会疫苗与免疫青年人才托举项目 CPMAQT_YM0317

广东省中医药局科研项目 20231051

广州市卫生健康科技项目 20221A041003

克州科技项目 2023-02-08

详细信息

通讯作者:
陈俊虎，E-mail: qq99jj@163.com

中图分类号: R186 R954
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- 被引次数: 0
出版历程
- 收稿日期: 2025-02-15
- 网络出版日期: 2026-04-11

Analysis of the application effect of intelligent electronic tag systems in vaccine management

1.
Guangzhou Haizhu District Center for Disease Control and Prevention, Guangzhou, Guangdong 510288, China

摘要

摘要: 目的评价应用疫苗智能电子标签系统对疫苗管理的效果，为国内疾病预防控制机构进一步研究提供参考。方法本研究自2022年1月1日—2023年12月31日选择广州市海珠区6个预防接种门诊作为智能电子标签组，采用简单随机抽样方法抽取6个预防接种门诊(18个门诊)作为纸质标签组，智能电子标签组预防接种门诊采用苏州冷王网络科技有限公司的智能电子标签系统对疫苗实行管理和监测，纸质标签组采用传统的纸质标签管理。2组预防接种门诊各抽取2022年1月以来的400次日常管理形成的数据，分析2组疫苗每天盘点、每月盘点、冷库摆放记录、标签记录、盘点登记表等信息。结果智能电子标签系统使疫苗管理实现“六统一”，和纸质标签组纸质标签管理疫苗相比，智能电子标签系统每日的疫苗清点、拣苗耗时平均缩短(2.1±0.2)h(t=132.816，P < 0.001)；智能电子标签系统管理疫苗发苗登记错误7次(1.75%)，纸质标签40次(10.00%)，差异有统计学意义(χ²=24.616，P < 0.001)；应用智能电子标签系统管理报废疫苗1 409剂次，疫苗报废率为0.34%，使用纸质标签管理报废疫苗3 291剂次，疫苗报废率为1.80%，差异有统计学意义(χ²=3 400.141，P < 0.001)。结论智能电子标签系统符合中国疫苗管理法中有效期规范管理的要求，可以有效、规范管理疫苗，减少疫苗使用差错和疫苗报废的发生，提高预防接种门诊的疫苗管理效率。
- 智能电子标签系统 /
- 疫苗管理 /
- 应用成效 /
- 信息化
Abstract: Objective To evaluate the effectiveness of intelligent electronic tag system in vaccine management and to provide a reference for further research and application by disease prevention and control institutions in China. Methods Six vaccination clinics in Haizhu District, Guangzhou, were selected as the intelligent electronic tag group, while another 6 vaccination clinics (18 clinics) as the paper-based tag group using a simple random sampling method from January 1, 2022 to December 31, 2023. The intelligent electronic tag group of vaccination clinics adopted the intelligent electronic tag system provided by Suzhou Lengwang Network Technology Co., Ltd. for management and monitoring, while the paper-based tag group used traditional paper tag management. Each group extracted 400 sets of daily management data since January 2022. The two groups were compared and analyzed with respect to indicators such as vaccine inventory time, daily stocktaking time, incorrect vaccine retrieval, incorrect vaccine placement, and vaccine scrap rate. Results The intelligent electronic tag system achieved the "six unifications" in vaccine management. Compared with paper-based tag management, the intelligent electronic tag system reduced the average daily vaccine inventory and picking time by (2.1±0.2) hours (t=132.816, P < 0.001). The intelligent electronic labeling system recorded 7 vaccine registration errors (1.75%), while the paper-based tag system recorded 40 errors (10.00%), the difference was statistically significant (χ²=24.616, P < 0.001). A total of 1 409 doses of vaccines were scrapped under intelligent electronic tag system, with a vaccine scrap rate of 0.34%, while 3 291 doses were scrapped under paper-based tag system, with a vaccine scrap rate of 1.80%, this difference was also statistically significant (χ²=3 400.141, P < 0.001). Conclusion The intelligent electronic tag system complies with the requirements of the Vaccine Administration Law of the People' s Republic of China regarding vaccine expiration date management. It enables efficient and systematic vaccine management, decreases vaccine administration errors and wastage, and improves the efficiency of vaccine management in vaccination clinics.
- Intelligent electronic tag systems /
- Vaccine management /
- Application effectiveness /
- Informatization

HTML全文

表 1 纸质标签和智能电子标签系统使用登记错误情况比较

Table 1. Comparison of registration errors of paper label and smart e-label

组别	总样本量	涂改标签(次)	盘点错误(次)	摆放错误(次)	登记错误(次)	登记正确(次)	错误率(%)
智能电子标签	400	0	5	2	7	393	1.75
纸质标签	400	11	14	15	40	360	10.00
注：2组错误率比较，χ²=24.616，P < 0.001。

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参考文献(25)

[1]	郭翔. 《中华人民共和国疫苗管理法》的实施对预防接种工作的促进作用[J]. 上海预防医学, 2021, 33(3): 259-263. GUO X. Influence of implementation of the Vaccine Management Law on immunization work[J]. Shanghai Journal of Preventive Medicine, 2021, 33(3): 259-263.
[2]	张燕玲, 牟鑫爽, 茅宁莹, 等. 我国疫苗监管发展概况[J]. 中国食品药品监管, 2023, 21(11): 28-35. ZAHNAG Y L, MOU X S, MAO N Y, et al. Overview of vaccine regulatory development in China[J]. China Food & Drug Administration Magazine, 2023, 21(11): 28-35.
[3]	ANN L, THOMAS C, DIANA C B, et al. The world of immunization: achievements, challenge, and strategic vision for the next decade[J]. J Infect Dis, 2021, 224: S452-S467. doi: 10.1093/infdis/jiab284
[4]	余文周, 刘丽珺, 许长沙, 等. 为人民健康的免疫长城保驾护航, 党的十八大以来我国免疫规划制度化飞跃发展[J]. 中国疫苗和免疫, 2022, 28(5): 491-495. YU W Z, LIU L J, XU C S, et al. Since the 18th National Congress of the Communist Party of China, the institutionalization of China' s immunization program has made significant progress in safeguarding the health of the people through the great wall of immunization[J]. Chinese Journal of Vaccines and Immunization, 2022, 28(5): 491-495.
[5]	马超, 安志杰, 王富珍, 等. 预防为主服务健康, 百年筑就免疫长城: 中国共产党成立100年来免疫规划工作和成就回顾[J]. 中国疫苗和免疫, 2021, 27(6): 609-614. MA C, AN Z J, WANG F Z, et al. Give priority to prevention, serve health, and build the Great Wall of immunization in a century: review of immunization planning and achievements since the founding of the CPC in the past 100 years[J]. Chinese Journal of Vaccines and Immunization, 2021, 27(6): 609-614.
[6]	翁德华, 张欢艳, 许婧, 等. 基于RFID的温度监控系统研究与应用[J]. 数字技术与应用, 2021, 39(5): 105-108. WENG D H, ZHANG H Y, XU J, et al. Research and application of temperature monitoring system based on RFID[J]. Digital Technology & Application, 2021, 39(5): 105-108.
[7]	王冠美, 郭煜航, 吉哲, 等. 自动识别技术在乳制品冷链物流中的应用[J]. 中国自动识别技术, 2022, 42(3): 75-78. WANG G M, GUO Y H, JI Z, et al. Application of automatic identification technology in cold chain logistics of dairy products[J]. China Auto-ID, 2022, 42(3): 75-78.
[8]	应徐颉, 刘琼, 张明胜, 等. 我国疫苗冷链管理现状及发展展望[J]. 中国现代应用药学, 2020, 37(5): 636-640. YING X J, LIU Q, ZHANG M S, et al. Current situation and development prospect of vaccine cold chain management in China[J]. Chinese Journal of Modern Applied Pharmacy, 2020, 37(5): 636-640.
[9]	李俊荣, 谢芳钦, 翁淑琴, 等. 福建省疫苗冷链自动监测系统的建立与应用[J]. 预防医学论坛, 2022, 28(12): 881-884. LI J R, XIE F Q, WENG S Q, et al. Establishment and application of vaccine cold chain automatic monitoring system, Fujian province[J]. Preventive Medicine Tribune, 2022, 28(12): 881-884.
[10]	杨国梁, 王建信, 胥义. 疫苗冷链安全监控技术研究及应用进展[J]. 制冷技术, 2021, 41(5): 88-92. YANG G L, WANG J X, XU Y. Research and application progress of vaccine cold chain safety monitoring technology[J]. Chinese Journal of Refrigeration Technology, 2021, 41(5): 88-92.
[11]	邹丽萍, 孙红云, 郭丽, 等. 济南市疫苗冷链管理集中仓储配送模式应用探索[J]. 中国公共卫生管理, 2023, 39(5): 748-850. ZOU L P, SUN H Y, GUO L, et al. Exploration on the application of centralized storage-distribution mode of vaccine cold chain management in Jinan City[J]. Chinese Journal of Public Health Management, 2023, 39(5): 748-750.
[12]	熊励, 谢雨初, 陈楠. 基于区块链的疫苗信息化溯源体系研究[J]. 情报科学, 2023, 41(6): 39-46. XIONG L, XIE Y C, CHEN N. Blockchain-based vaccine informatization traceability system[J]. Information Science, 2023, 41(6): 39-46.
[13]	王兰, 廖波, 范回生, 等. 疫苗冷链管理的科学性和可操作性探讨[J]. 中国公共卫生管理, 2021, 37(2): 180-182. WANG L, LIAO B, FAN H S, et al. Scientificity and operability of vaccine cold chain management[J]. Chinese Journal of Public Health Management, 2021, 37(2): 180-182.
[14]	陈俊磊, 宋祎凡, 叶家楷, 等. 免疫规划信息系统助力中国优质预防接种服务[J]. 中国疫苗和免疫, 2024, 30(2): 237-241. CHEN J L, SONG Y F, YE J K, et al. Immunization information systems facilitate high-quality vaccination services in China[J]. Chinese Journal of Vaccines and Immunization, 2024, 30(2): 237-241.
[15]	安鹏慧. 物联网技术在危险化工产品仓储中的应用[J]. 数字技术与应用, 2022, 40(12): 32-34. AN P H. The application of internet of things technology in the warehousing of hazardous chemical products[J]. Digital Technology & Application, 2022, 40(12): 32-34.
[16]	曾丽艳, 王倩, 孟现民, 等. Ⅰ期临床试验生物样本的流程化管理[J]. 中华全科医学, 2021, 19(8): 1403-1407. ZENG L Y, WANG Q, MENG X M, et al. Process management of biological samples in phase Ⅰ clinical trials[J]. Chinese Journal of General Practice, 2021, 19(8): 1403-1407.
[17]	毛明. 人工智能技术在食品智能包装设计中的应用及创新实践[J]. 包装工程, 2023, 44(S2): 231-235. MAO M. Application and innovative practice of artificial intelligence technology in food intelligent packaging design[J]. Packaging Engineering, 2023, 44(S2): 231-235.
[18]	张钟元, 马琳, 孟小虎, 等. 我国智能技术在医疗领域应用的发展态势分析[J]. 医学信息学杂志, 2024, 45(7): 7-13. ZHANG Z Y, MA L, MENG X H, et al. The development status and trend of intelligent technologies applied in the medical field in China[J]. Journal of Medical Informatics, 2024, 45(7): 7-13.
[19]	张乐. 智慧医疗领域的大数据分析及应用[J]. 数字技术与应用, 2024, 42(2): 51-54. ZHANG L. Big data analysis and application in the field of smart medical care[J]. Digital Technology & Application, 2024, 42(2): 51-54.
[20]	王菲菲, 黄顺民, 郑薇薇, 等. 智能化医院信息系统在干预静脉用药集中调配差错中的效果分析[J]. 海峡药学, 2022, 34(11): 172-174. WANG F F, HUANG S M, ZHENG W W, et al. Effect analysis of intelligent hospital information system in intervention of errors in pharmacy intravenous admixture service[J]. Strait Pharmaceutical Journal, 2022, 34(11): 172-174.
[21]	闫珊, 沈慧, 顾智淳, 等. 新型智慧化管理模式在心房颤动患者社区随访管理中的效果评价[J]. 中华全科医学, 2024, 22(6): 1008-1012. YAN S, SHEN H, GU Z C, et al. Evaluation of the effect of a new intelligent management model in community follow-up management of patients with atrial fibrillation[J]. Chinese Journal of General Practice, 2024, 22(6): 1008-1012.
[22]	江军飞, 高悦. 无线电子标签在高警示药品管理中的应用[J]. 中国医药导刊, 2021, 23(5): 384-387. JIANG J F, GAO Y. Application of wireless electronic labels in the management of high-alert drugs[J]. Chinese Journal of Medical Guide, 2021, 23(5): 384-387.
[23]	傅奇, 骆展鹏. 重庆市血库智能化管理系统建设研究[J]. 重庆医学, 2023, 52(21): 3333-3337. FU Q, LUO Z P. Research on construction of blood bank intelligent management system in Chongqing City[J]. Chongqing Yixue, 2023, 52(21): 3333-3337.
[24]	郑琰莉, 韩福海, 李舒玉, 等. 人工智能大模型在医疗领域的应用现状与前景展望[J]. 医学信息学杂志, 2024, 45(6): 24-29. ZHENG Y L, HAN F H, LI S Y, et al. Application status and prospect of artificial intelligence large models in medicine[J]. Journal of Medical Informatics, 2024, 45(6): 24-29.
[25]	马晓红, 张圆圆, 张文谋, 等. 新一代信息技术在医疗健康产业中的应用研究[J]. 电脑知识与技术, 2024, 20(21): 132-134. MA X H, ZHANG Y Y, ZHANG W M, et al. Research on the application of new generation information technology in the medical and health industry[J]. Computer Knowledge and Technology, 2024, 20(21): 132-134.