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

Author:

Picozzi Paola1,Nocco Umberto2,Pezzillo Andrea1,De Cosmo Adriana1,Cimolin Veronica13ORCID

Affiliation:

1. Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy

2. Clinical Engineering Department of ASST Grande Ospedale Metropolitano Niguarda, 20162 Milano, Italy

3. Istituto Auxologico Italiano, IRCCS, S. Giuseppe Hospital, 28824 Oggebbio, Italy

Abstract

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.

Publisher

MDPI AG

Reference32 articles.

1. Drechsler, K., Grisold, T., Gau, M., and Seidel, S. (2024, June 05). Digital Infrastructure Evolution: A Digital Trace Data Study. Available online: https://www.researchgate.net/publication/364199024.

2. The Digital Transformation of Healthcare in the Digital Economy: A Systematic Review;Limna;Int. J. Adv. Health Sci. Technol.,2023

3. Stoumpos, A.I., Kitsios, F., and Talias, M.A. (2023). Digital Transformation in Healthcare: Technology Acceptance and Its Applications. Int. J. Environ. Res. Public Health, 20.

4. Assessing the Impact of Digital Transformation of Health Services Expert Panel on Effective Ways of Investing in Health (EXPH).

5. Cancela, J., Charlafti, I., Colloud, S., and Wu, C. (2021). Digital health in the era of personalized healthcare: Opportunities and challenges for bringing research and patient care to a new level. Digital Health: Mobile and Wearable Devices for Participatory Health Applications, Elsevier.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3