[1]姜屹楠,王 萍,张海芹,等.智能化单病种数据库及上报系统的应用实践[J].医学信息,2025,38(07):38-42,59.[doi:10.3969/j.issn.1006-1959.2025.07.006]
　JIANG Yinan,WANG Ping,ZHANG Haiqin,et al.Application Practice of Intelligent Single Disease Database and Reporting System[J].Journal of Medical Information,2025,38(07):38-42,59.[doi:10.3969/j.issn.1006-1959.2025.07.006]
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智能化单病种数据库及上报系统的应用实践()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
38卷
期数:
2025年07期
页码:
38-42,59
栏目:
卫生管理信息学
出版日期:
2025-04-01

文章信息/Info

Title:
Application Practice of Intelligent Single Disease Database and Reporting System
文章编号:
1006-1959（2025）07-0038-06
作者:
姜屹楠; 王 萍; 张海芹; 王里达; 蔡跃红
潍坊市人民医院质量管理办公室，山东 潍坊 261000
Author(s):
JIANG Yinan;  WANG Ping;  ZHANG Haiqin;  WANG Lida;  CAI Yuehong
Quality Management Office, Weifang People′s Hospital, Weifang 261000, Shandong, China
关键词:
单病种; 质量管理; 医疗质量; 信息化
Keywords:
Single disease;  Quality management;  Medical quality;  Informatization
分类号:
R197
DOI:
10.3969/j.issn.1006-1959.2025.07.006
文献标志码:
A
摘要:
目的 用信息化手段开发智能单病种数据库及上报系统，以实现单病种数据自动上报、上传管理及质量管理指标的统计分析。方法 通过病历数据结构化、医学专业术语映射等方式搭建单病种数据数据库及上报平台，实现数据分类自动填充、数据批量上报、数据质量管理与控制等功能。分析验证系统在单病种时间、费用维度的应用实践效果。结果 应用智能化单病种数据库及上报系统后，单病种月均上报例数由2020年的348例增长至2023年的774例，单病种年上报率由2020年的49.19%提高至2023年的76.95%，平均住院日由2020年的12.83 d逐年下降至2023年的10.07 d，次均住院费用由2020年的34 809.67元降至2023年的32 828.72元。以膝关节置换术（TKR）为例，该病种在应用系统前后平均住院日、次均住院费用、平均耗材费用比较，差异有统计学意义（P＜0.05）。结论 智能化单病种数据库及上报系统的应用能够提升单病种数据上报效率，有效控制病种平均住院日和次均住院费用。
Abstract:
Objective To develop an intelligent single disease database and reporting system using information technology to achieve automatic reporting, reporting management, and statistical analysis of quality management indicators for single disease data. Methods Using structured medical record data, and mapping of medical terminology, a single disease data database and reporting platform were built to achieve automatic data classification, data batch reporting, data quality management and control. In addition, the application effect of the system was analyzed and verified through statistical testing methods. Results After applying the intelligent single disease database and reporting system, the monthly average number of reported cases of single disease increased from 348 in 2020 to 774 in 2023, the annual reporting rate of single disease increased from 49.19% in 2020 to 76.95% in 2023, the average hospitalization days decreased from 12.83 days in 2020 to 10.07 days in 2023, and the average hospitalization expenses decreased from 34 809.67 yuan in 2020 to 32 828.72 yuan in 2023. Taking knee arthroplasty (TKR) as an example, the application of the system had significantly reduced the average length of hospital stay, average hospitalization costs, and average consumable costs (P<0.05). Conclusion The application of intelligent single disease database and reporting system can improve the efficiency of single disease data reporting, effectively control the average length of hospital stay and average hospitalization costs per time.

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更新日期/Last Update: 1900-01-01