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作 者:周勤学[1] 蔡建利[1] 韩慧[1] 沈丽娟[1] 章晋[1] 沈琰[1] ZHOU Qin-xue;CAI Jian-li;HAN Hui;SHEN Li-juan;ZHANG Jin;SHEN Yan(The First People’s Hospital of Huzhou,Huzhou 313000,China)
出 处:《护理学报》2022年第2期11-16,共6页Journal of Nursing(China)
基 金:浙江省医药卫生科技项目(2021PY076)。
摘 要:目的研发压力性损伤护理评估智能决策系统,探讨其在临床压力性损伤患者中的应用效果。方法成立研发小组,以参考预防和治疗压力性损伤:快速参考指南2019为指导蓝本,设置智能决策规则。以医院临床信息系统为基础,依托计算机信息技术,对系统的界面布局、分区、模块结构、内容和功能进行整体构架,多角度、多方位研发压力性损伤护理评估智能决策系统,实现智能决策、健康教育推送双路径、质量控制指标监测等,落实入院8 h内风险评估及时率、院内PI发生率等指标。结果应用压力性损伤护理评估智能决策的系统后,PI入院8 h内风险评估及时率由84.7%上升至95.7%,Braden评估漏评率由8.7%下降至3.7%,Braden评估准确率由75.5%上升84.4%,创面评估准确率由77.2%上升至87.3%,创面处理准确率由68.3%上升至79.3%,压力性损伤转归率由56.6%上升86.7%,差异均有统计学意义(P<0.05)。院内PI发生率由0.7‰降至0.3‰。结论压力性损伤护理评估智能决策系统是一个自动化、智能化、信息化的智能决策平台,能为护理人员提供准确、客观的决策依据,能智能决策压力性损伤患者的分期,提高护理质量及管理效能。Objective To develop an intelligent decision system for stress injury care assessment and explore its effectiveness in pressure injury patients.Methods A research and development team was established to set up intelligent decision rules with reference to the prevention and treatment of pressure injuries:Quick Reference Guide 2019 as a guiding blueprint.Based on hospital clinical information system,and computer information technology,the overall framework of the system including interface layout,partitioning,module structure,content and functions was developed in a multi-angle and multi-directional way for intelligent decision-making,health education pushing dual pathways,quality control indicator monitoring,etc.,and the implementation of indicators such as the timely rate of risk assessment within 8 hours of admission and the incidence of in-hospital PI.Results After the application of intelligent decision system for pressure injury care assessment,the timely rate of risk assessment within 8h of admission increased from 84.7%to 95.7%but the rate of missed Braden assessment decreased from 8.7%to 3.7%and the accuracy rate of Braden assessment,trauma assessment,and trauma management increased from 75.5%to 84.4%,from 77.2%to 87.3%and from 68.3%to 79.3%respectively.The transfer rate of pressure injury increased from 56.6%to 86.7%,and all the differences were statistically significant(P<0.05).The incidence of in-hospital PI decreased from 0.7‰to 0.3‰.Conclusion Intelligent decision system for stress injury care assessment is automated,intelligent and information-based.It provides nurses with accurate and objective decision-making basis,which can make intelligent decisions on the staging of patients with stress injury and improve nursing quality and management effectiveness.
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