摘要
目的探讨网络化智能管理系统在电子自控镇痛泵管理中的应用效果。方法采用自身前后对照设计,选择2018年6—8月及2019年3—6月北京大学人民医院麻醉科70名医护人员作为调查对象,比较应用电子镇痛泵智能管理系统前后70名医护人员镇痛泵取用时间及医护满意度指标。结果应用电子镇痛泵智能管理系统前医护人员平均取用镇痛泵时间为(3.725±0.332)min,医护满意度为64.29%(45/70);智能管理系统应用后医护人员平均取用镇痛泵时间为(1.901±0.237)min,医护满意度为97.14%(68/70),应用前后差异有统计学意义(t值为46.197,χ^(2)值为8.425,P<0.05)。结论电子镇痛泵智能管理系统的应用使医护人员镇痛泵取用时间有效缩短,满意度显著提高,提升了医护人员的临床工作效率,实现了麻醉科电子自控镇痛泵网络化的管理。
Objective To explore the application effect of intelligent network-management system in the management of electronic controlled analgesic pump.Methods A total of 70 medical staff were selected in Department of Anesthesiology from Peking University People′s Hospital from June to August 2018 and March to June 2019.Self controlled design was adopted.The data of 70 doctors and nurses were collected by comparing the development of electronic controlled analgesia pump before and after the two management modes in analgesia pump management of time-consuming and care satisfaction results.Results Before the application of intelligent management system in the electronic controlled analgesia pump,the average access time of the analgesia pump was(3.725±0.332)min,and the satisfaction rate was 64.29%(45/70);after the application of the intelligent management system,the average access time of the analgesic pump was(1.901±0.237)min,and the satisfaction rate of the nurses was 97.14%(68/70).The difference before and after the application was statistically significant(t value was 46.197,χ^(2) value was 8.425,P<0.05).Conclusions Application of intelligent management system in the process of electronic controlled analgesia pump can effectively shorten the average access time of the analgesia pump,increase satisfaction rate,improve the work efficiency of clinical medical staff,and realize the network management of anesthesia analgesia pump.
作者
王秀丽
张伟新
果旭
何苗
Wang Xiuli;Zhang Weixin;Guo Xu;He Miao(Department of Anesthesiology,Peking University People's Hospital,Beijing 100044,China)
出处
《中国实用护理杂志》
2021年第33期2606-2610,共5页
Chinese Journal of Practical Nursing
关键词
电子自控镇痛泵
智能管理
术后疼痛
麻醉
质量
Electronic controlled analgesic pump
Intelligent management
Postoperative pain
Anesthesia
Quality