Efficacy assessment of an intelligent blood transfusion system in intraoperative red blood cell transfusion
10.13303/j.cjbt.issn.1004-549x.2025.11.004
- VernacularTitle:智能输血系统应用于术中红细胞输注的效果评价
- Author:
Linfeng CHEN
1
;
Yu FENG
2
;
Zongmei TIAN
3
;
Yan WANG
1
;
Wei ZHOU
3
;
Qingqing YANG
4
;
Yang YU
5
;
Deqing WANG
5
Author Information
1. Department of Blood Transfusion Medicine, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing 100038, China
2. Department of Medical Service, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing 100038, China
3. Department of Information, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing 100038, China
4. Beijing Hexing Chuanglian Health Technology Co Ltd, Beijing 102299, China
5. Department of Transfusion Medicine, First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
- Publication Type:Journal Article
- Keywords:
intelligent blood transfusion system;
clinical application;
effectiveness evaluation;
rationality of blood use
- From:
Chinese Journal of Blood Transfusion
2025;38(11):1495-1501
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To evaluate the long-term effectiveness of an intelligent blood transfusion system in intraoperative blood management by comparing its performance with clinicians' decisions. Methods: A retrospective analysis of 26 760 surgical cases (2017-2024) was conducted, comparing pre- and post-implementation (2017-2019 vs 2020-2024) metrics, including transfusion prediction accuracy, rationality of blood use, and clinical outcomes. The system, powered by XGBoost, integrated patient demographics, laboratory results, and surgical data to predict red blood cell transfusion needs. Results: The intelligent blood transfusion systems achieved an accuracy of 80.62% in predicting transfusion necessity, significantly outperforming clinicians (24.83%, P<0.001). Its blood-use rationality rate was 83.92% vs 18.02% for clinicians (P<0.001). Post-implementation, major surgeries (grades Ⅲ-Ⅳ) increased while the requested blood units decreased. High physician compliance (>75%) correlated with 88.18% rationality. Conclusion: The intelligent blood transfusion system significantly improves the accuracy of transfusion decision-making, reduces excessive red blood cell use, optimizes perioperative transfusion management, and enhances the utilization of blood medical resources.
