ABSTRACT
Objective:To summarize the experience on accurate prevention and control of children′s emergency department during the epidemic of novel coronavirus Omicron variant.Methods:We retrospectively analyzed the strategies and management experience of emergency prevention and control of novel coronavirus infection in emergency department at Children′s Hospital of Fudan University from March to May 2022.Results:As a designated hospital for treating pediatric patients who contracted novel coronavirus in Shanghai, the emergency department in our hospital was confronted with the dual pressure of critical patients treatment and pandemic prevention and control.We carefully studied a series of laws and regulations, as well as the newest edition of Chinese clinical guidance for novel coronavirus pneumonia diagnosis and treatment, and combined with the characteristics of novel coronavirus infection in children, then formulated the independent emergency department, fever clinics and novel coronavirus clinics; Updated the emergency department pre-examination triage process, the precautions pratice of clinical stuffs and disfection strategy, and established the second emergency department.From the beginning of March to the end of May 2022, a total of about 12 000 patients were admitted to the emergency department in our hospital, including 704 patients in the resuscitation room, 652 patients in the observation room, and 164 patients in the emergency ward.There were six patients with novel coronavirus infection in the emergency department.Neither nosocomial infection nor occupational exposure occurred.Conclusion:After 3 months of practice, the results showed that it can fully guarantee the timely treatment of critically ill children and achieved zero cross-infection in the hospital, which has important reference significance for the treatment of children, epidemic prevention, control during the novel coronavirus epidemic.
ABSTRACT
Objective To explore the application effect of intelligent assistant decision-making in the five-level triage of pediatric emergency department. Methods The patients treated in the pediatric emergency department of Xiamen Children′s Hospital using the intelligent assistant decision-making system were divided into two groups before and after one month. In March 2018,17 900 cases were in the traditional group,and in April 2018,18 590 cases were in the intelligent group. The traditional group conducted manual triage accord-ing to the five-level pre-screening and triage standard. The intelligent group conducted triage based on the self-developed intelligent assistant decision-making system. Intelligent assistant decision-making included au-tomatic identification of whether vital signs data was abnormal and automatic provision of basis for triage lev-el to help nurses confirm two major functions. The patients′information were collected according to the estab-lished content,and the system would automatically identify and present according to the corresponding triage basis to determine the triage level. The two groups of children were compared and analyzed in terms of dis-ease distribution,triage level,triage accuracy. The clinical application effect of the emergency pediatric pre-check triage system was evaluated. Results There was no significant difference in disease distribution be-tween the two groups. The top three were respiratory diseases,infectious diseases and digestive diseases. In the comparison of waiting time between the two groups,the waiting time of grade Ⅲ,Ⅳ and Ⅴ patients in the intelligent group was shorter than that in the traditional group,the difference was statistically significant (P<0. 05). The consistency of triage grade in the intelligent group was higher than that in the traditional group. The family satisfaction of children in the intelligent group ofⅢ,Ⅳ,andⅤgrade was higher than that in the traditional group. Conclusion The application of intelligent assistant decision-making could improve the efficiency and accuracy of the pre-examination of the nurses,ensure the effectiveness of the triage and the safety of the children,and improve the satisfaction of family members.
ABSTRACT
Objective@#To explore the application effect of intelligent assistant decision-making in the five-level triage of pediatric emergency department.@*Methods@#The patients treated in the pediatric emergency department of Xiamen Children′s Hospital using the intelligent assistant decision-making system were divided into two groups before and after one month.In March 2018, 17 900 cases were in the traditional group, and in April 2018, 18 590 cases were in the intelligent group.The traditional group conducted manual triage according to the five-level pre-screening and triage standard.The intelligent group conducted triage based on the self-developed intelligent assistant decision-making system.Intelligent assistant decision-making included automatic identification of whether vital signs data was abnormal and automatic provision of basis for triage level to help nurses confirm two major functions.The patients′ information were collected according to the established content, and the system would automatically identify and present according to the corresponding triage basis to determine the triage level.The two groups of children were compared and analyzed in terms of disease distribution, triage level, triage accuracy.The clinical application effect of the emergency pediatric pre-check triage system was evaluated.@*Results@#There was no significant difference in disease distribution between the two groups.The top three were respiratory diseases, infectious diseases and digestive diseases.In the comparison of waiting time between the two groups, the waiting time of grade Ⅲ, Ⅳ and Ⅴ patients in the intelligent group was shorter than that in the traditional group, the difference was statistically significant (P<0.05). The consistency of triage grade in the intelligent group was higher than that in the traditional group.The family satisfaction of children in the intelligent group of Ⅲ, Ⅳ, and Ⅴ grade was higher than that in the traditional group.@*Conclusion@#The application of intelligent assistant decision-making could improve the efficiency and accuracy of the pre-examination of the nurses, ensure the effectiveness of the triage and the safety of the children, and improve the satisfaction of family members.