Application of data mining in hospital medical equipment management and maintenance
10.3969/j.issn.1005-202X.2025.06.016
- VernacularTitle:数据挖掘在医院医疗设备管理与维护中的应用
- Author:
Yang LIU
1
;
Rong LIU
1
;
Shaoke CHEN
1
;
Feng ZHAO
1
Author Information
1. 新疆医科大学第一附属医院设备与信息管理部采购科,新疆 乌鲁木齐 830002
- Publication Type:Journal Article
- Keywords:
medical equipment;
data mining;
sparrow search algorithm;
CatBoost;
management and maintenance
- From:
Chinese Journal of Medical Physics
2025;42(6):814-819
- CountryChina
- Language:Chinese
-
Abstract:
To improve the efficiency and reliability of medical equipment management and maintenance,a hybrid data mining technique called SSA-CatBoost algorithm which integrates data mining technique,sparrow search algorithm and CatBoost is proposed for ensuring the medical equipment maintenance,as well as the timely abnormal detection and repairs.Experimental results show that the proposed algorithm significantly improves the availability(96.11%),mean time between failures(199.72 h)and fault prediction efficiency of medical equipments.This study provides new insights and solutions for medical equipment management and maintenance,enhancing the stability and reliability of equipments and further improving the quality and efficiency of medical services.
