Intelligent blood logistics reinvention: HFMEA-applied transport pathway optimization for biopharmaceutical safety assurance
10.13303/j.cjbt.issn.1004-549x.2026.01.019
- VernacularTitle:基于“医疗失效模式与效应分析”优化血液智慧物流安全运输路径管理
- Author:
Qiming YING
1
;
Fangfang JIN
2
;
Fengmin XU
2
;
Jiaji HU
3
;
Danni SONG
1
;
Bin WU
3
;
Qinhong XU
4
;
Dingfeng LYU
1
Author Information
1. Department of Blood Transfusion, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China
2. Department of Hematology, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China
3. Information Section, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China
4. Department of Nursing, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China
- Publication Type:Journal Article
- Keywords:
Healthcare Failure Model and Effect Analysis (HFMEA);
intelligent logistics;
blood;
secure transport;
pathway management
- From:
Chinese Journal of Blood Transfusion
2026;39(1):123-127
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the application effectiveness of healthcare failure mode and effect analysis (HFMEA) in optimizing intelligent blood logistics transport pathways for safety assurance. Methods: Data from 1 851 cases of intelligent blood logistics transport were collected between September 2023 and March 2025. Based on the implementation phases of HFMEA measures, the cases were divided into a control group (n=120), observation group 1 (n=219), and observation group 2 (n=1 512). Through systematic analysis of the transport processes, hazard scoring and decision tree analysis were conducted for each process, and phased optimization measures were implemented for high-risk failure modes. Results: The transport duration of intelligent blood logistics was 35.5 (20.8, 71.1) min in the control group, 25.1 (10.9, 40.7) min in observation group 1, and 9.9 (4.2, 44.5) min in observation group 2. Observation group 2 exhibited significantly shorter transport time compared to both observation group 1 and the control group, with statistically significant differences between groups (P<0.000 1). Conclusion: The implementation of HFMEA-driven measures significantly reduced intelligent blood logistics transport duration, thereby fostering the evolution of smart hospital ecosystems while enhancing healthcare service quality and operational efficiency.
