The Use of Business Intelligence Software to Monitor Key Performance Indicators (KPIs) for the Evaluation of a Computerized Maintenance Management System (CMMS)

被引:2
作者
Picozzi, Paola [1 ]
Nocco, Umberto [2 ]
Pezzillo, Andrea [1 ]
De Cosmo, Adriana [1 ]
Cimolin, Veronica [1 ,3 ]
机构
[1] Politecn Milan, Dept Elect Informat & Bioengn, I-20133 Milan, Italy
[2] ASST Grande Osped Metropolitano Niguarda, Clin Engn Dept, I-20162 Milan, Italy
[3] IRCCS, S Giuseppe Hosp, Ist Auxol Italiano, I-28824 Oggebbio, Italy
关键词
clinical engineering; business intelligence; computerized maintenance management system; CMMS;
D O I
10.3390/electronics13122286
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The increasing use of electromedical equipment in hospital care services necessitates effective management of complex devices often unsupported by existing control systems. This paper focuses on developing a pool of evaluation indices for the Clinical Engineering Department (CED) of the ASST Grande Ospedale Metropolitano Niguarda in Milano (Italy), aiming to enhance awareness of the economic value, assess operational units, and optimize maintenance processes. Leveraging business intelligence, this study identifies 18 key performance indicators (KPIs) across logistics, technical, and equipment management categories. An interactive dashboard, implemented using Power BI, facilitates dynamic analysis and visualization of these KPIs, providing insights into the maintenance efficiency and obsolescence of medical devices. It offers a comprehensive framework for ongoing monitoring and decision-making. The results showcase the potential of the developed KPIs and dashboard to enhance operational insights and guide improvements in the healthcare facility's maintenance processes.
引用
收藏
页数:23
相关论文
共 33 条
  • [1] Abayazeed SidAhmed A., 2010, Journal of Clinical Engineering, V35, P88
  • [2] Abernethy Amy, 2022, NAM Perspect, V2022, DOI 10.31478/202206e
  • [3] Almomani H., 2020, Using Computerized Maintenance Management System (CMMS) in Healthcare Equipments Maintenance Operations
  • [4] [Anonymous], 2011, WHO Medical device technical series
  • [5] [Anonymous], 2017, Health topics: Substance abuse, P1, DOI [DOI 10.1590/S0080-23420130000300021, 10.1590/S0080-23420130000300021]
  • [6] [Anonymous], Assessing the Impact of Digital Transformation of Health Services Expert Panel on Effective Ways of Investing in Health (EXPH), DOI [10.2875/09099, DOI 10.2875/09099]
  • [7] Automation Systems and Integration, 2014, Key Performance Indicators (KPIs) for Manufacturing Operations Management-Part 2: Definitions and Descriptions Systemes D'automatisation et Integration-Indicateurs de la Performance cle Pour le Management des Operations de Fabrication-Partie 2: Definitions et Descriptions
  • [8] Competence-Based Assessment of Biomedical Equipment Management and Maintenance System (e-Upkaran) Using Benefit Evaluation Framework
    Bhardwaj, Pankaj
    Joshi, Nitin K.
    Singh, Prem
    Suthar, Praveen
    Joshi, Vibha
    Jain, Yogesh K.
    Charan, Jaykaran
    Ameel, Mohammad
    Singh, Kuldeep
    Patil, Manoj S.
    Gaidhane, Abhay
    Syed, Zahiruddin Quazi
    Saxena, Deepak
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2022, 14 (10)
  • [9] Bliznakov Z., 2003, Biomedical Instrumentation & Technology, V37, P25, DOI 10.2345/0899-8205(2003)37[25:ISSFIM]2.0.CO
  • [10] 2