ABSTRACT
Objective@#To explore the application of intelligent real-time monitoring in infusion safety.@*Methods@#Totally 1 200 patients who received intravenous infusion from November 2017 to June 2018 in the Department of gastroenterology were selected as the study subjects. With system sampling method, 600 patients were selected as observation group who using Intelligent infusion system to monitor the infusion process. Another 600 patients were selected as control group without using the system. The current use rate of infusion fluid, the severity of local exudation during intravenous infusion, the blocking rate of intravenous pathway, the number of nurses dealing with dripping empty infusion of two groups and the rate of erroneous running caused by patients′ wrong ringing or false alarm of intelligent infusion system were compared between the two groups.@*Results@#The current use rate of infusion fluid in the observation group was 91.33% (548/600) higher than 80.00% (480/600) in the control group (χ2=31.382, P<0.01). The severity of local exudation of intravenous infusion and the obstruction rate of venous access in the observation group were lower than those in the control group (u=415.500, χ2=20.345, P<0.05 or 0.01). The number of nurses in the observation group was lower than 202 in the control group (χ2=93.574, P<0.01).@*Conclusion@#The application of intelligent real-time monitoring in infusion can record the dynamic situation of infusion in real time. It can not only improve the quality management level of infusion, but also be accurate, efficient and safe, which is conductive to the treatment and nursing of patients.
ABSTRACT
Objective To explore the application of intelligent real-time monitoring in infusion safety. Methods Totally 1 200 patients who received intravenous infusion from November 2017 to June 2018 in the Department of gastroenterology were selected as the study subjects. With system sampling method, 600 patients were selected as observation group who using Intelligent infusion system to monitor the infusion process. Another 600 patients were selected as control group without using the system. The current use rate of infusion fluid, the severity of local exudation during intravenous infusion, the blocking rate of intravenous pathway, the number of nurses dealing with dripping empty infusion of two groups and the rate of erroneous running caused by patients′wrong ringing or false alarm of intelligent infusion system were compared between the two groups. Results The current use rate of infusion fluid in the observation group was 91.33% (548/600) higher than 80.00% (480/600) in the control group (χ2=31.382, P<0.01). The severity of local exudation of intravenous infusion and the obstruction rate of venous access in the observation group were lower than those in the control group (u=415.500, χ2=20.345, P<0.05 or 0.01). The number of nurses in the observation group was lower than 202 in the control group (χ2=93.574, P<0.01). Conclusion The application of intelligent real-time monitoring in infusion can record the dynamic situation of infusion in real time. It can not only improve the quality management level of infusion, but also be accurate, efficient and safe, which is conductive to the treatment and nursing of patients.