Construction and practice of digital medical laboratory management system: taking National Clinical Research Center for Aging and Medicine (HuaShan) as an example
10.3760/cma.j.cn113565-20250226-00049
- VernacularTitle:数字化医学实验室管理系统的建设与实践
- Author:
Feng JI
1
;
Jianping MAO
1
;
Di HOU
1
;
Wei LIU
1
;
Huaizhou YOU
1
;
Jing CHEN
1
Author Information
1. 复旦大学附属华山医院国家老年疾病临床医学研究中心，上海 200040
- Publication Type:Journal Article
- Keywords:
Digitalization;
Medical laboratory management system;
Total Quality Management (TQM);
Internet of Things (IoT);
Smart laboratory
- From:
Chinese Journal of Medical Science Research Management
2025;38(4):340-346
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To address the inefficiency, safety hazards, and resource wastage in traditional medical laboratory management, this study proposes a digital laboratory information management system (LIMS) based on Total Quality Management (TQM) principles. The LIMS has been implemented at the National Center for Geriatric Medicine (Huashan) affiliated with Fudan University.Methods:Centered on the principles of " all-staff participation, whole-process control, and comprehensive management", a multidimensional management framework was developed to integrate personnel, equipment, reagents, and safety protocols. The system incorporated IoT, digital twin, and artificial intelligence (AI) technologies to achieve end-to-end digital control. A layered architecture (physical layer, data layer, model layer, etc.) was designed to integrate functional modules such as full lifecycle equipment management, dual-authentication for hazardous chemicals, and intelligent resource scheduling. A 3D digital twin model was deployed to visualize real-time laboratory operations.Results:Post-implementation, equipment reservation frequency and usage duration at the National Center increased by 114% and 124%, respectively, with no safety incidents reported. Equipment sharing utilization reached 85%, and reagent expiration waste decreased by 30%.Conclusions:The system transforms laboratory management from experience-driven to data-driven by breaking data silos and optimizing collaboration mechanisms. It provides a replicable technical pathway and practical insights for the healthcare industry′s digital transformation. However, further improvements are needed in mobile support and system scalability.
