Design and Application of Intelligent Blood Transfusion System Based on Electronic Medical Record Level Six Evaluation and Grade Hospital Evaluation
Objective To build an intelligent closed-loop blood transfusion system,to meet the requirements of the national electronic medical record level six and grade hospital evaluation rules,and improve the safety and rationality of blood use.Methods The defects of the existing system was analyzed,and the existing system was transformed and upgraded using blood transfusion knowledge base,clinical decision support system and other tools as media.The integrated platform was used to exchange information with hospital information system,electronic medical record,surgical anesthesia system and blood transfusion system,and then the one-click reporting function of clinical blood quality control indicators was realized,and the whole process management of blood transfusion from application,blood allocation,blood use and evaluation of the effect after blood use was realized.The inspection result of blood transfusion quality and blood transfusion terminal medical records were compared to evaluate the effectiveness of the system before and after the launch of system.Results After the system was launched,the rational rate of blood transfusion application,correct rate of specimens,non-timeout infusion rate and adverse feedback rate of blood transfusion were significantly increased compared with those before the system was launched(P<0.01),and the terminal medical records of blood transfusion were more normalized and standardized than those before the system was launched(P<0.01).Conclusion The intelligent closed-loop blood transfusion management system sets quality control reminders in the key links of clinical blood use,establishes safe,reasonable and standardized blood use models,reduces the risk of blood transfusion and improves the management level of blood used in hospital.
intelligence blood transfusion systemwhole process managementblood transfusion qualityblood safety
国家科技期刊平台
NSTL
万方数据
维普
