Development and application of outpatient dialysis event monitoring system

BAI Yi; MA Ru; SHAO Honglin; SU Chunyan; WANG Shaoli; ZHAO Xintian; YUAN Xiaoning; XING Yan; ZHANG Huizhi

doi:10.16462/j.cnki.zhjbkz.2025.08.019

Volume 29 Issue 8

Aug. 2025

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BAI Yi, MA Ru, SHAO Honglin, SU Chunyan, WANG Shaoli, ZHAO Xintian, YUAN Xiaoning, XING Yan, ZHANG Huizhi. Development and application of outpatient dialysis event monitoring system[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(8): 988-992. doi: 10.16462/j.cnki.zhjbkz.2025.08.019

Citation:

BAI Yi, MA Ru, SHAO Honglin, SU Chunyan, WANG Shaoli, ZHAO Xintian, YUAN Xiaoning, XING Yan, ZHANG Huizhi. Development and application of outpatient dialysis event monitoring system[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(8): 988-992. doi: 10.16462/j.cnki.zhjbkz.2025.08.019

Citation:

BAI Yi, MA Ru, SHAO Honglin, SU Chunyan, WANG Shaoli, ZHAO Xintian, YUAN Xiaoning, XING Yan, ZHANG Huizhi. Development and application of outpatient dialysis event monitoring system[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(8): 988-992. doi: 10.16462/j.cnki.zhjbkz.2025.08.019

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Development and application of outpatient dialysis event monitoring system

doi: 10.16462/j.cnki.zhjbkz.2025.08.019

1.
Department of Nosocomial Infection Management, Peking University Third Hospital, Beijing 100191, China
2.
Information Management and Big Data Center, Peking University Third Hospital, Beijing 100191, China
3.
The Department of Neurology, Peking University Third Hospital, Beijing 100191, China

Funds:

"Infection and Action, China" Research Project on Infection Prevention and Control in Medical Institutions, National Institute of Hospital Administration, National Health Commission GY20230023

Capital′s Funds for Health Improvement and Research, Beijing Municipal Health Commission 2024-2G-40916

More Information

Corresponding author: ZHANG Huizhi, E-mail: zhihui1002@qq.com
Received Date: 2024-10-28
Rev Recd Date: 2025-05-27
Publish Date: 2025-08-10

Abstract

Abstract

Objective To meet the need for precise prevention and control, this study established and applied a surveillance system for dialysis event (DE) in outpatient settings, enabling risk monitoring, real-time alerts, and data-driven decision support based on health information technology. Methods The surveillance system was developed based on the designed key technical information and principles. The self-developed platform was implemented in a tertiary care hospital hemodialysis unit for a 12-month prospective surveillance in 2024. We described three-tier metrics: (1) DE incidence (2) Hemodialysis-associated infection incidence (3) System performance indicators. Results The system monitored 587 patients undergoing 40 253 hemodialysis sessions through automated data extraction. It recognized and reported 423 DEs (incidence: 1.05%), and one hemodialysis-associated infection (incidence: 0.17%). These findings were consistent with results from parallel traditional manual surveillance. Compared to the conventional methods, the timeliness and proactive reporting rate of the active monitoring system had increased by 57.97% and 21.40% respectively. Conclusions As a standardized monitoring tool, this system has important practical value in promoting the digital transformation of infection management in outpatient hemodialysis. The real-time surveillance data generated not only provides technical support for establishing infection baseline data, but also provides reference and inspiration for further improving the level of infection monitoring and prevention in outpatient hemodialysis.
- Outpatient dialysis event,
- Informatization,
- Monitoring system,
- Digital management

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References(13)

References

[1]	《中国腹膜透析管理现状白皮书》项目组. 中国腹膜透析管理现状白皮书[J]. 中华肾脏病杂志, 2022, 38(12): 1076-1104. DOI: 10.3760/cma.j.cn441217-20220418-00158. Project group of "White paper on the status of peritoneal dialysis management in China". White paper on the current status of peritoneal dialysis management in China[J]. Chin J Nephrol, 2022, 38(12): 1076-1104. DOI: 10.3760/cma.j.cn441217-20220418-00158.
[2]	Htay H, Bello AK, Levin A, et al. Hemodialysis use and practice patterns: an international survey study[J]. Am J Kidney Dis, 2021, 77(3): 326-335. e1. DOI: 10.1053/j.ajkd.2020.05.030.
[3]	Zhang H, Li LY, Jia HX, et al. Surveillance of Dialysis Events: one-year experience at 33 outpatient hemodialysis centers in China[J]. Sci Rep, 2017, 7(1): 249. DOI: 10.1038/s41598-017-00302-9.
[4]	门海燕, 苏春燕. 血液透析中心静脉导管相关血流感染研究进展[J]. 护士进修杂志, 2020, 35(12): 1116-1120. DOI: 10.16821/j.cnki.hsjx.2020.12.014. Men HY, Su CY. Advances in research on bloodstream infections associated with central venous catheters in hemodialysis[J]. J Nurs Train, 2020, 35(12): 1116-1120. DOI: 10.16821/j.cnki.hsjx.2020.12.014.
[5]	Fisher M, Golestaneh L, Allon M, et al. Prevention of bloodstream infections in patients undergoing hemodialysis[J]. Clin J Am Soc Nephrol, 2020, 15(1): 132-151. DOI: 10.2215/cjn.06820619.
[6]	中华人民共和国国家卫生健康委员会. 血管导管相关感染预防与控制指南(2021年版)[EB/OL]. (2021-03-17)[2024-10-28]. https://www.nhc.gov.cn/yzygj/c100068/202103/feb9ec8a985048f896226e8b59a6f76d/files/1732871567392_31004.pdf.
[7]	中华人民共和国国家卫生健康委员会. 医院感染监测标准WS/T 312-2023[EB/OL]. (2023-08-20)[2024-10-28]. https://www.nhc.gov.cn/cms-search/downFiles/5f37d8384be746aeaec21ab14cf0a5ea.pdf.
[8]	中华人民共和国国家卫生健康委员会. 国家卫健委医院感染管理医疗质量控制指标(2024年版)[EB/OL]. (2024-04-30)[2024-10-28]. https://www.nhc.gov.cn/yzygj/c100068/202405/7d1d82090e8b44d2af3339d7ee8c7cca/files/1733999833111_26793.pdf.
[9]	Weikert B, Kramer TS, Schwab F, et al. Implementation of a new surveillance system for dialysis-associated infection events in outpatient dialysis facilities in Germany[J]. J Hosp Infect, 2023, 142: 67-73. DOI: 10.1016/j.jhin.2023.08.024.
[10]	赵心田, 袁晓宁, 白易, 等. 基于德尔菲法门诊血液透析感染事件监测指标体系的构建[J]. 中华医院感染学杂志, 2025, 35(7): 1090-1095. DOI: 10.11816/cn.ni.2025-241707. Zhao XT, Yuan XN, Bai Y, et al. Construction of monitoring indicators system for infection events in outpatient hemodialysis based on Delphi method[J]. Chin J Nosocomiol, 2025, 35(7): 1090-1095. DOI: 10.11816/cn.ni.2025-241707.
[11]	尹剑斌, 吴文妍. 公共卫生数据共享中的风险预防原则及其适用[J]. 中华医院管理杂志, 2023, 39(10): 728-732. DOI: 10.3760/cma.j.cn111325-20230619-00484. Yin JB, Wu WY. Risk prevention principle of public health data sharing and its application[J]. Chin J Hosp Admin, 2023, 39(10): 728-732. DOI: 10.3760/cma.j.cn111325-20230619-00484.
[12]	Liu J, Zhang HX, Diao ZL, et al. Epidemiological analysis of death among patients on maintenance hemodialysis: results from the Beijing blood purification quality control and improvement center[J]. BMC Nephrol, 2023, 24(1): 236. DOI: 10.1186/s12882-023-03271-6.
[13]	Keenan J, Barbre KA, Dollard P, et al. A six-year follow-up of bloodstream infections in hemodialysis facilities in the United States, national healthcare safety network, 2020[J]. Clin J Am Soc Nephrol, 2024, 19(8): 978-983. DOI: 10.2215/CJN.0000000000000476.