周磊. 基于PDCA构建专病模板为导向的CAP患者 病情严重程度评估体系. 2024. biomedRxiv.202409.00064
基于PDCA构建专病模板为导向的CAP患者 病情严重程度评估体系
通讯作者: 周磊, 16910556@qq.com
DOI:10.12201/bmr.202409.00064
Construction of specific medical records assessment system for CAP patients disease severity based on PDCA
-
摘要:目的 探讨以专病病历为导向联合持续质量改进(PDCA)构建社区获得性肺炎(CAP)患者病情严重程度评估体系。方法 统计2022年1-6月呼吸与危重症医学科住院CAP患者162例,采用鱼骨图法分析病情严重程度评估率低的原因,通过以专病病历为导向联合PDCA制定改进措施,统计分析7-12月份CAP患者数据,比较PDCA实施前后CAP病情严重程度评估率及平均住院日、人均住院费用变化。结果 实施后,科室CAP患者PSI评估率(69.38%)明显高于实施前(14.20%),平均住院日(8)低于实施前(10天),人均住院费用(7116.91元)低于实施前(8639.63元),且差异有统计学意义(p<0.01)。结论 基于PDCA以专病病历导向CAP患者病情严重程度评价体系,可提高CAP患者病情严重程度评估率,早期识别重症肺炎,有助于降低CAP患者平均住院日及人均住院费用,减轻患者医疗负担,提高患者满意度。
Abstract: Objective Exploring the construction of a community acquired pneumonia (CAP) patient severity assessment system guided by specialized medical records and combined with continuous quality improvement (PDCA). Methods A total of 162 CAP patients hospitalized in the Department of Respiratory and Critical Care Medicine from January to June 2022 were counted. The fishbone diagram method was used to analyze the reasons for the low assessment rate of disease severity. Improvement measures were formulated by combining with PDCA based on special medical records, and statistical analysis was carried out. The data of CAP patients from July to December were compared to the changes in the assessment rate of CAP disease severity, average hospitalization days, and per capita hospitalization expenses before and after the implementation of PDCA. Results After implementation, the PSI assessment rate of CAP patients in departments (69.38%) was significantly higher than that before implementation (14.20%), the average hospitalization days (8) were lower than that before implementation (10 days), and the per capita hospitalization expenses (7116.91 yuan) were lower than that before implementation (8639.63 yuan), and the difference was statistically significant (p<0.01)。 Conclusion Based on PDCA, the evaluation system of CAP patients severity based on specific medical records can improve the evaluation rate of CAP patients severity, identify severe pneumonia early, help to reduce the average hospitalization days and per capita hospitalization expenses of CAP patients, reduce the medical burden of patients, and improve patient satisfaction.
Key words: Specific medical records; PDCA; Community-acquired pneumonia; Pneumonia severity index; Condition assessment提交时间:2024-09-29
版权声明:作者本人独立拥有该论文的版权,预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。 -
图表
-
张亚男. 基于NLP构建病历后结构化专病数据库的探索和实践. 2024. doi: 10.12201/bmr.202406.00007
冀鹏磊, 髙崴崴, 李佳霖, 刘待见, 王昱林. 免疫炎症相关指数与重症肺炎转归相关性分析. 2024. doi: 10.12201/bmr.202409.00062
施明杰, 叶洪舟, 袁琛. 大环内酯类耐药肺炎支原体肺炎患儿发展为重症肺炎的危险因素分析及预测模型构建. 2024. doi: 10.12201/bmr.202409.00021
杨柳, 李小龙, 李善平, 吴义熔. 电子病历数据质量评估指标体系构建研究. 2023. doi: 10.12201/bmr.202303.00021
连万民. 基于数据治理的脑血管专病数据库建设实践. 2022. doi: 10.12201/bmr.202210.00011
王耀国, 唐诗诗, 刘泓泽, 安雨婷, 周毅. 基于本地大模型的骨质疏松专病数据库构建流程优化研究. 2024. doi: 10.12201/bmr.202410.00002
魏雪瑶, 郑辉, 陈莹, 刘震, 倪如暘, 刘艳亭. 基于特异性指标与实施效果评价的临床路径系统的设计与实现. 2020. doi: 10.12201/bmr.202010.00839
吴佩林, 陈文晶, 张思琪, 徐鹏宇, 苗艳青, 王丽丹. 基于德尔菲法的两病门诊用药保障机制评估指标体系构建. 2022. doi: 10.12201/bmr.202211.00016
刘迷迷, 杜国霞, 周毅, 吴斌, 吴晓瑛. 肝硬化专病数据库建设与应用研究. 2021. doi: 10.12201/bmr.202104.00014
张娅玲, 张月华, 张莎, 劳云飞. 服药信念量表特异版在艾滋病抗病毒治疗患者中的适用性评价. 2024. doi: 10.12201/bmr.202407.00001
-
序号 提交日期 编号 操作 1 2024-08-26 bmr.202409.00064V1
下载 -
-
公开评论 匿名评论 仅发给作者
引用格式
访问统计
- 阅读量:28
- 下载量: 0
- 评论数:0