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Optimising ICU supply chains: Evidence-based strategies for efficiency, resilience and patient safety-a structured
Noor Hasmee1, Hema Joshi2, Mamita Gurung3
1Department of nursing, AIIMS Raebareli, Raebareli, Uttar Pradesh, India hashmeenoor09@gmail.com.
Abstract:
Inventory management in intensive care units (ICUs) plays a critical role in ensuring uninterrupted patient care, yet it remains an underprioritised component of healthcare operations. This narrative review explores current challenges and evidence-based strategies for optimising ICU supply chains. Issues such as unpredictable demand, manual stock tracking, procurement inefficiencies and limited staff training often contribute to stockouts, expired supplies and delayed interventions. The COVID-19 pandemic further exposed systemic vulnerabilities, emphasising the need for resilient, technology-driven supply systems. A comprehensive literature search (2004-2025) was conducted across PubMed, Scopus, Web of Science and Google Scholar using keywords related to ICU inventory, artificial intelligence (AI) forecasting, radio frequency identification (RFID), procurement and digital health logistics. Findings were synthesised into thematic categories addressing core problems and interventions. Key strategies include implementing automated tracking systems, adopting AI-driven demand forecasting, standardising procurement policies, training ICU staff in inventory best practices and establishing emergency buffer stock. Emerging technologies such as digital twins and blockchain are highlighted for their potential to enhance transparency, responsiveness and planning accuracy. Additionally, fostering multisourcing supplier partnerships and optimising ICU storage space can further enhance system agility and reduce waste. In conclusion, ICU supply chains must evolve from reactive, manual systems to proactive, data-driven frameworks. Hospitals should invest in digital infrastructure, staff training and ethical procurement models to build resilient, cost-effective and patient-centred supply chains.
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