Application of Grey Relational Entropy Weight Method in DRG Performance Evaluation of Inpatient Departments

被引:4
|
作者
Ma, Xiaoju [1 ]
Wang, Yuan [2 ]
机构
[1] Chongqing Med Univ, Affiliated Hosp 1, Dept Finance & Accounting, Chongqing 400016, Peoples R China
[2] Southwest Med Univ, Affiliated Hosp, Dept Operat Management, Luzhou 646000, Peoples R China
关键词
D O I
10.1155/2022/7348985
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective. The objective is to analyze the performance indicators of the hospital's orthopedics department based on the DRG tool, evaluate the medical service ability of the orthopedic department, and provide a theoretical basis for the hospital to build a performance management evaluation system. Methods. The Shanghai version of DRG tool was used for grouping, and DRG indicators (RW, CM, CMI, number of groups), surgical grades, and disease structure were used for assessment. Results. 3,310 people were discharged from the department of orthopedics, the total number of CM was 4,196.99, the CMI value was 1.27, and the number of DRGs was 161. Conclusion. The overall condition of the orthopedics department is good, mainly for the treatment of difficult and severe cases. The results reflected by the DRG indicators are scientific and objective. The remission group is lower than normal group (P > 0.05). The accuracy, sensitivity, specificity, negative predictive value, and positive predictive value of EOS were 57.6%, 29.7%, 83.8%, 55.9%, and 63.3%, respectively.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] The financial performance evaluation of the electric power enterprise based on entropy weight and grey correlation degree
    Guo, S. S.
    Yang, F. W.
    INFORMATION TECHNOLOGY AND COMPUTER APPLICATION ENGINEERING, 2014, : 607 - 609
  • [32] Generalized grey information entropy weight TOPSIS model for financial performance evaluation considering differentiation
    Zhang, Shaoguang
    Liu, Sifeng
    Fang, Zhigeng
    Zhang, Qin
    Zhang, Jingru
    KYBERNETES, 2023, 52 (11) : 5412 - 5426
  • [33] Evaluation of water quality with application of Bayes' rule and entropy weight method
    Sahoo, Mrunmayee M.
    Patra, K. C.
    Swain, J. B.
    Khatua, K. K.
    EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING, 2017, 21 (06) : 730 - 752
  • [34] An Integrated Entropy Weight and Grey Clustering Method-Based Evaluation to Improve Safety in Mines
    Jiskani, Izhar Mithal
    Han, Shuai
    Rehman, Atta Ur
    Shahani, Niaz Muhammad
    Tariq, Muhammad
    Brohi, Manzoor Ali
    MINING METALLURGY & EXPLORATION, 2021, 38 (04) : 1773 - 1787
  • [35] Study on Entropy Weight Coefficient Method and Application for Water Quality Evaluation
    MEN Bao-hui1
    2. College of Hydraulic and Architecture Engineering
    JournalofNortheastAgriculturalUniversity(EnglishEdition), 2004, (01) : 66 - 68
  • [36] Application of the Entropy Weight and TOPSIS Method in Safety Evaluation of Coal Mines
    Li, Xiangxin
    Wang, Kongsen
    Liu, Liwen
    Xin, Jing
    Yang, Hongrui
    Gao, Chengyao
    ISMSSE 2011, 2011, 26
  • [37] Application of Entropy Weight Method in the Evaluation of the Road Capacity of Open Area
    Guo, Shuyu
    MATERIALS SCIENCE, ENERGY TECHNOLOGY, AND POWER ENGINEERING I, 2017, 1839
  • [38] Hierarchical entropy weight performance evaluation method of aero piston engine
    Xu J.
    Chen K.
    Liu B.
    Hangkong Dongli Xuebao/Journal of Aerospace Power, 2023, 38 (11): : 2747 - 2756
  • [39] Application of Grey Relational Analysis on the Quality Evaluation of Individual Data
    Hou Hui
    Zhao Mingqing
    RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, PTS 1 AND 2, 2011, : 1406 - +
  • [40] The Method Research of Signal Recognition Based on Information Entropy and Grey Relational Analysis
    Yin, XuHong
    Lin, Yun
    Dou, Zheng
    2016 IEEE INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION AND COMMUNICATION TECHNOLOGY ICEICT 2016 PROCEEDINGS, 2016, : 395 - 397