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Impact of whole-process closed-loop intelligent pathway real-time control on clinical transfusion safety |
CHEN Hongxia1 NI Wei2,3 WU Changlin4 |
1.Department of Blood Transfusion, Xianning Central Hospital, the First Affiliated Hospital of Hubei University of Science and Technology, Hubei Province, Xianning 437100, China;
2.Department of Laboratory, Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei Province, Wuhan 430061, China;
3.Department of Laboratory, Hubei Province Academy of Traditional Chinese Medicine, Hubei Province, Wuhan 430074, China;
4.Department of Blood Transfusion, the Second People′s Hospital of Shenzhen, Guangdong Province, Shenzhen 518035, China |
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Abstract Objective To explore the impact of whole-process closed-loop intelligent pathway real-time control on clinical transfusion safety. Methods A total of 3548 patients with blood transfusion in Xianning Central Hospital, the First Affiliated Hospital of Hubei University of Science and Technology from June 2016 to June 2018 were selected, and the patients were divided into 2016 group (1545 cases) and 2018 group (2003 cases) according to chronological order. The 2016 group adopted the conventional blood transfusion safety management method, and the 2018 group adopted the full closed-loop intelligent routing real-time control. The effects of real-time control of intelligent routing of blood specimens, the status of blood transfusion, the average operating time and quality of blood preparation and transfusion, and the effect of blood transfusion safety control of two groups were compared. Results The pre-transfusion detection rate, post-transfusion efficacy evaluation detection rate, and cross-matching test blood specimen time compliance rate in the 2018 group were significantly higher than those in the 2016 group (P < 0.05). The infusion rate within 30 minutes and infusion completion rate within 4 hours after blood retrieval in the 2018 group were significantly higher than those in the 2016 group (P < 0.05). The operation time of blood preparation and blood transfusion in the 2018 group were longer than those in the 2016 group, while the quality were higher than those in the 2016 group (P < 0.05). The number of blood sample errors or unqualified cases, the initial blood group test or the number of single blood group application errors in the 2018 group were significantly lower than those of the 2016 group, and the differences were all statistically significant (all P < 0.05). Conclusion The whole-process closed-loop intelligent pathway real-time control on clinical blood transfusion can effectively control the safety and quality of blood transfusion, while avoid the occurrence of adverse events of clinical blood transfusion, and significantly improve the level of scientific safe blood transfusion.
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