Abstract: Objective To ensure the safety of blood transfusion , we established an information system management model for the precise distribution of blood transfusion samples. Methods The patient information system and the clinical blood transfusion information management system were used to dynamically track the average delivery time of blood transfusion samples in ordinary and emergency (rescue) departments monthly, and the number of sample delivery errors and missed cases were observed. Results In 2016~2017, information network distribution was not implemented. In 2018~2019, information network dynamic tracking and distribution was implemented. The monthly average blood transfusion sample time for ordinary consultation was 45.0±3.1 min, 40.0±4.2 min, 20.0±3.5 min, 19.0±3.3 min, respectively. There is a statistical difference with the year (F=170.95, P<0.05); while the information network distribution was not implemented in 2016-2017, and the information network dynamic tracking and distribution was implemented in 2018~2019. The monthly average emergency (rescue) blood transfusion sample time was 16.0±2.4 minutes, 15.0±2.1 minutes, 10.0±3.1 minutes, 9.0±1.8 minutes, respectively, there were also statistical differences with the year (F=25.44, P<0.05). In 2016 and 2017, the information network was not implemented to dynamically track the number of delivery errors, missed deliveries and detentions of blood transfusion samples were 286 cases (accounting for 7.77‰) and 269 cases (accounting for 6.90‰) respectively; the establishment was applied in 2018 and 2019, The accurate distribution of blood transfusion samples in the information system did not cause any delivery error, missed delivery and detention, and there were statistical differences between them (χ²=613.49, P<0.05). Conclusion The establishment of dynamic tracking management of blood transfusion sample information network can improve the accuracy of distribution and work efficiency, and also realize the quality process control of clinical blood transfusion work.

Key words: Blood Transfusion, Sample management, Informatization