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杭州市某医院疼痛管理决策与质量监测系统的构建与应用 被引量:1

Construction and application of the pain management decision and quality monitoring system of a hospital in Hangzhou
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摘要 目的探讨大数据时代疼痛管理决策与质量监测系统的构建及应用效果。方法将2016年1-6月在肿瘤科病区使用疼痛管理决策与质量监测系统前的114例患者作为对照组,将2016年7-12月在肿瘤科病区使用疼痛管理决策与质量监测系统后的132例患者作为观察组。对两组患者的疼痛护理记录合格率、疼痛缓解程度、疼痛管理满意进行统计分析。结果应用疼痛管理决策与质量监测系统软件后,观察组疼痛评估准确率、疼痛护理记录合格率、疼痛管理满意度较对照组有显著提高,差异有统计学意义(P〈0.05);患者疼痛缓解程度较应用前显著改善,差异有统计学意义(P〈0.05)。结论疼痛管理决策与质量监测系统软件的应用促进疼痛护理规范化,提高了疼痛管理效率。 Objective To explore the application effects of the construction of the pain management decision and quality monitoring system in big data era. Methods A total of 114 patients who were in Oncology Department ward from January to June 2016 when the system of pain management decision and quality monitoring had not been applied were selected as the control group. After the application of pain management decision and quality monitoring system, from July to December 2016, 132 patients of Ontology Department ward were selected as the observation group. The qualified rate of pain nursing record, the degree of pain relief and pain management satisfaction were statistically analyzed and compared between the two groups. Results After application of pain management decision and the quality monitoring system software, the pain assessment accuracy, the qualified rate of pain nursing records and pain management satisfaction of the observation group increased significantly than those of the control group, and the difference was statistically significant (P 〈 0.05). The degree of pain relief in patients was significantly improved than that before the application, and the difference was statistically significant (P 〈 0.05). Conclusions The application of pain management decision and quality monitoring system promotes the standardization of pain care and improves the efficiency of pain management.
出处 《中华现代护理杂志》 2018年第3期350-352,共3页 Chinese Journal of Modern Nursing
基金 2015年杭州市卫生计生科技计划一般(A类)项目(2015A19)
关键词 护理管理研究 疼痛 决策支持系统 管理 质量监测 Nursing administration research Pain Decision support system, management Quality monitoring
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