[1]徐悦 张秉坤 姚国东 黄皓 魏楠 高华斌.基于医院评审标准的重点专业质量控制指标数据治理的思考[J].中国卫生质量管理,2024,31(09):033-36.[doi:10.13912/j.cnki.chqm.2024.31.9.07]
 XU Yue,ZHANG Bingkun,YAO Guodong.Thoughts on Data Governance of Key Professional Quality Control Indicators Based on the Hospital Evaluation Criteria[J].Chinese Health Quality Management,2024,31(09):033-36.[doi:10.13912/j.cnki.chqm.2024.31.9.07]
点击复制

基于医院评审标准的重点专业质量控制指标数据治理的思考()
分享到:

《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R]

卷:
第31卷
期数:
2024年09期
页码:
033-36
栏目:
医院评审
出版日期:
2024-09-15

文章信息/Info

Title:
Thoughts on Data Governance of Key Professional Quality Control Indicators Based on the Hospital Evaluation Criteria
作者:
徐悦 张秉坤 姚国东 黄皓 魏楠 高华斌
昆明理工大学附属安宁市第一人民医院
Author(s):
XU YueZHANG BingkunYAO Guodong
Anning First People’s Hospital Affiliated to Kunming University of Science and Technology
关键词:
三级医院评审标准质量控制指标数据治理
Keywords:
Evaluation Criteria for Tertiary HospitalsQuality Control IndicatorsData Governance
分类号:
R197.323
DOI:
10.13912/j.cnki.chqm.2024.31.9.07
文献标志码:
A
摘要:
目的根据国家对三级医院评审的要求,对重点专业质量控制指标数据进行治理,以促进数据安全和医疗服务能力的提升。方法成立数据质量治理小组,汇总统计口径模糊的指标,按名称和类型进行分类整理。通过引进专业质控系统,制订病历结构化模板,将19个质控指标嵌入模板。在HIS系统中设置“专业质控指标数据集”入口,可直接获取质控指标数据集。结果19个重点专业质量控制指标(合计298个指标,1 286项数据)中纯手工提取43项,信息化手段获取1 243项,信息化手段占96.66%,手工提取数据占3.34%;手工提取下降89.97%。结论电子病历结构化有助于实现数据的精细化管理,促进医院高质量发展。
Abstract:
ObjectiveTo govern key professional quality control indicators data according to the national requirements for the evaluation of tertiary hospitals, to promote data security and enhance medical service ability.MethodsA data quality governance team was set up to summarize the indicators with vague statistical caliber, and sort them by name and type. Through the introduction of professional quality control system, the medical record structure template was developed, and 19 quality control indicators were embedded in the template. The entry of "professional quality control index data set" was set in HIS system, and the quality control index data set could be directly obtained.ResultsAmong the 19 key professional quality control indicators (total 298 indicators, 1 286 data), 43 items were extracted manually, and 1 243 items were obtained by information means, accounting for 96.66%. Manual extraction accounted for 3.34% of the data, and manual extraction decreased by 89.97%.Conclusion The structuring of electronic medical record is helpful to realize the fine management of data and promote the high quality development of hospitals.

参考文献/References:

[1]徐书贤. 以评审为契机促高质量发展[J]. 中国医院院长, 2023, 19(16): 80-83.[2]向宗城, 成爱民, 谭邦华. 新标准视角下三级医院等级评审的实践与思考[J]. 中国医院院长, 2022, 18(12): 68-71.[3]田巍, 陈新, 张秀英. 国家与地方版《三级医院评审标准(2020年版)实施细则》的对比研究[J]. 现代医院, 2023, 23(2): 168-174.[4]云南省卫生健康委. 三级医院评审标准(2020 年版)云南省实施细则(试行):云卫规〔2022〕1号[EB/OL].(2022-03-04)[2023-11-17].http://ynswsjkw.yn.gov.cn/html/2022/guifanxingwenjian_0307/15368.html.[5]琏马, 朱卫国, 姜会珍, 等. 面向医院高质量发展的数据治理模式与方法探讨[J]. 中国卫生信息管理杂志, 2022,19(2):159-164.[6]周彬, 赵雪飞, 刘炜, 等. 医院数据质量改进措施研究[J]. 医学与社会, 2020,33(12): 32-36.[7]冯亚兰, 傅育红. 高质量发展视角下的医院数据治理探索实践[J]. 现代医院管理, 2023, 21(1): 108-110.[8]国家卫生健康委. 心血管系统疾病相关专业医疗质量控制指标(2021 年版):国卫办医发〔2021〕70号[EB/OL].(2021-02-05)[2023-11-17].http://www.nhc.gov.cn/yzygj/s7657/202102/650268edd4824 42da50f62954fc94f13.shtml.[9]张金凤, 罗敏辉, 邹征强, 等. 基于等级医院评审标准的质量监测指标数据验证实践[J]. 中国卫生质量管理, 2023, 30(6): 37-40.[10]邓姚, 柴斌英, 钱方舟, 等. “国考”背景下医疗数据治理模式的探索与思考[J]. 江苏卫生事业管理, 2022, 33(3): 285-287,291.

相似文献/References:

[1]陈练石慧峰魏瑗王晓霞赵扬玉乔杰.2019年度全国产科专业医疗服务与质量安全报告分析[J].中国卫生质量管理,2022,29(05):001.[doi:10.13912/j.cnki.chqm.2022.29.5.01 ]
 CHEN Lian,SHI Huifeng,WEI Yuan.Analysis of the Report on Medical Service and Quality Safety of Obstetrics in China in 2019[J].Chinese Health Quality Management,2022,29(09):001.[doi:10.13912/j.cnki.chqm.2022.29.5.01 ]
[2]蔡雁 杨茹 张浩.武汉市三级医院临床用血质量控制指标评价分析[J].中国卫生质量管理,2025,32(01):074.[doi:10.13912/j.cnki.chqm.2025.32.1.17]
 CAI Yan,YANG Ru,ZHANG Hao.Evaluation and Analysis of Quality Control Indicators for Clinical Blood Usage in Tertiary Hospitals in Wuhan[J].Chinese Health Quality Management,2025,32(09):074.[doi:10.13912/j.cnki.chqm.2025.32.1.17]

更新日期/Last Update: 2024-09-15