Research Progress on Application of Intelligent Operation and Maintenance Models in Medical Equipment Management.
10.12455/j.issn.1671-7104.240561
- Author:
Jin LI
1
;
Xiu XU
1
;
Jing TONG
1
;
Wei JIN
1
;
Chenge WANG
1
;
Ruiyao JIANG
1
Author Information
1. Department of Medical Equipment, Shanghai Sixth People's Hospital, Shanghai,
- Publication Type:English Abstract
- Keywords:
Internet of Things (IoT);
big data;
deep learning;
intelligent operation and maintenance models;
medical equipment management
- MeSH:
Artificial Intelligence;
Algorithms;
Internet of Things;
Equipment and Supplies;
Big Data
- From:
Chinese Journal of Medical Instrumentation
2025;49(3):250-254
- CountryChina
- Language:Chinese
-
Abstract:
Medical equipment management plays a crucial role in enhancing the quality and efficiency of healthcare services. However, traditional management approaches are increasingly inadequate to meet the growing demands of modern healthcare. As intelligent operation and maintenance (O&M) models based on big data, the Internet of Things (IoT), and artificial intelligence (AI) technologies develop, it is imperative to explore their application in medical equipment management. This paper reviews the technical overview of intelligent O&M and discusses the algorithms and challenges of intelligent O&M models based on different technologies. It also proposes issues that need improvement in intelligent O&M models, aiming to provide valuable references for the future development of medical equipment management.
