Year: 2025
Type: review
Abstract: Yanting Dai,1,* Yunfei Xu,1,* You Zhang,2 Ke Wang3 1Operating Room, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, People’s Republic of China; 2Information Center, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, People’s Republic of China; 3Neonatology Department, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, People’s Republic of China*These authors contributed equally to this workCorrespondence: You Zhang; Ke Wang, Email [email protected]; [email protected]: This study focuses on the mid-term management theory of equipment lifecycle and systematically examines the impact of operating room instrument management on operational efficiency optimization. The review mainly covers four key aspects: operator training, information technology application, cost control, and quality assurance. The results indicate that mid-term management plays a crucial role in the full lifecycle management of operating room equipment and plays a key role in improving the quality of operating room operations. This management model is undergoing a profound transformation from experience driven to evidence-based practice, and from single control to system integration. Future research should focus on developing standardized evaluation metrics, scalable digital management platforms, and cross institutional data sharing models for optimizing the lifecycle of medical devices.Keywords: operating room, instrument and equipment, mid-life cycle management theory, operational quality
Authors: Dai,Yanting, Xu,Yunfei, Zhang,You, Wang,Ke
Language: English
Subfield: Medical Laboratory Technology
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7058312960
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