Optimizing Inventory Control in Emergency Health Services: A Case-Based ABC–VED Matrix Application
Abstract
Purpose: This study aimed to evaluate the inventory of medicines and disposable medical supplies in a Type A2 emergency health services station in Türkiye using ABC, VED, and ABC–VED matrix methods, and to propose strategies for optimizing stock control.
Methods: The study was conducted in 2024 at an A2-type emergency station in Kırklareli province. Annual consumption and cost data for 131 items were extracted from automation records. Criticality classifications (Vital, Essential, Desirable) were determined through structured interviews with eight experienced professionals. The combined ABC–VED matrix was used to identify high-, medium-, and low-priority groups for inventory control.
Results: ABC analysis showed that 12.21% of items (Category A) accounted for 69.32% of total expenditure. VED analysis revealed that vital items comprised 55.73% of stock and 57.18% of costs. The integrated ABC–VED matrix indicated that the high-priority group (AV, AE, BV) contained only 33 items but consumed 73.15% of total expenditures, underscoring their critical clinical and financial significance. Medium-priority items (71% of stock) had limited cost impact but high operational volume, while low-priority items, though few, represented 10.3% of costs.
Conclusion: Emergency health services require inventory strategies tailored to their unique logistical and clinical demands. The ABC–VED model provides a dual framework for balancing cost efficiency with clinical necessity, ensuring uninterrupted availability of life-saving materials. Integrating matrix-based protocols into regional and national EMS logistics could enhance efficiency, readiness, and patient outcomes.
Keywords
Ethical Statement
Ethics Committee of Trakya University Faculty of Medicine (Approval No: 02/30, Date: January 20, 2025).
References
- 1. Singh A, Rasania SK, Barua K. Inventory control: Its principles and application. Indian Journal of community health. 2022;34(1):14-19. doi:10.47203/IJCH.2022.v34i01.004
- 2. Balkhi B, Alshahrani A, Khan A. Just-in-time approach in healthcare inventory management: Does it really work? Saudi Pharmaceutical Journal. 2022;30(12):1830-1835. doi:10.1016/j.jsps.2022.10.013
- 3. Albayrak Ünal Ö, Erkayman B, Usanmaz B. Applications of artificial intelligence in inventory management: A systematic review of the literature. Archives of computational methods in engineering. 2023;30(4):2605-2625. doi:10.1007/s11831-022-09879-5
- 4. Essila JC. Strategies for reducing healthcare supply chain inventory costs. Benchmarking: An International Journal. 2023;30(8):2655-2669. doi:10.1108/BIJ-11-2021-0680
- 5. Saha E, Ray PK. Patient condition-based medicine inventory management in healthcare systems. IISE Transactions on Healthcare Systems Engineering. 2019;9(3):299-312. doi:10.1080/24725579.2019 .1638850
- 6. Cabral ELdS, Castro WRS, Florentino DRdM, et al. Response time in the emergency services. Systematic review. Acta cirurgica brasileira. 2018;33:1110-1121. doi:10.1590/s0102-865020180120000009
- 7. Goenka A, Mundkur S, Nayak SS, et al. Improving the emergency services using quality improvement project and Donabedian model in a quaternary teaching hospital in South India. BMJ Open Quality. 2024;13(1)doi:10.1136/bmjoq-2022-002246
- 8. Regulation on Emergency Health Services (Official Gazette of the Republic of Turkey) (2000).
Details
Primary Language
English
Subjects
Health Care Administration
Journal Section
Research Article
Publication Date
April 16, 2026
Submission Date
January 6, 2026
Acceptance Date
February 8, 2026
Published in Issue
Year 2026 Volume: 17 Number: April, May, June 2026