Abstract:Objective To analyze the application of intelligent nursing information system in emergency treatment of Chest Pain Center. Methods A total of 42 patients with acute ST elevation myocardial infarction (STEMI) who were admitted to the Department of Emergency of Shanghai Jiao Tong University Affiliated Chest Hospital (“our hospital” for short) from September 2016 to September 2017 were selected as the observation group to implement information-based nursing process intervention in Chest Pain Center. While a total of 40 patients with STEMI admitted to the Department of Emergency of our hospital from August 2015 to August 2016 were selected as the control group to implement the traditional emergency nursing path. The pre-examination and triage time, the first electrocardiogram time, the open venous access time, the oral administration time, the bedside point-of-care test (POCT)+ the test report time of the two groups were compared; the STEMI recurrence rate and the second percutaneous coronary interventional therapy (PCI) operation rate and ST segment reduction rate of the two groups were recorded; the emergency care satisfaction of the families of the two groups were compared. Results The time of pre-examination and triage, the time of the first electrocardiogram, the time of open venous access, the time of oral administration and the time of bedside POCT+ test report in the observation group were significantly shorter than those in the control group and the differences were highly statistically significant (P < 0.01). The treatment time of the observation group was shorter than that of the control group, while the success rate of first aid was higher than that of the control group, and the differences were statistically significant (P < 0.05). The STEMI recurrence rate and secondary PCI rate in the observation group were lower than those in the control group, and the ST segment reduction rate was higher than that in the control group, and the differences were statistically significant (P < 0.05). The satisfaction of the observation group (97.62%) was higher than that of the control group (77.50%), and the difference was statistically significant (P < 0.05). Conclusion The intelligent information system can effectively optimize the rescue nursing process of the chest pain center, shorten the treatment time of patients, improve the success rate of treatment, and enhance the satisfaction of nursing, which is worthy of promotion.
赵婷婷 潘璐意▲ 万光明 刘晓芯 钟华. 智能护理信息系统在胸痛中心急诊抢救中的应用[J]. 中国医药导报, 2020, 17(16): 167-170.
ZHAO Tingting PAN Luyi▲ WAN Guangming LIU Xiaoxin ZHONG Hua. Application of intelligent nursing information system in emergency treatment of Chest Pain Center. 中国医药导报, 2020, 17(16): 167-170.