Noor Hasmee, Hema Joshi, Mamita Gurung, Bhupendra Singh, Saman Naseema
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引用次数: 0
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.
重症监护室(icu)的库存管理在确保不间断的患者护理方面发挥着关键作用,但它仍然是医疗保健操作中未得到优先考虑的组成部分。这篇叙述性综述探讨了优化ICU供应链的当前挑战和基于证据的策略。需求不可预测、人工跟踪库存、采购效率低下和工作人员培训有限等问题往往导致缺货、供应品过期和干预措施拖延。2019冠状病毒病大流行进一步暴露了系统性脆弱性,强调了建立有弹性、技术驱动的供应系统的必要性。在PubMed、Scopus、Web of Science和b谷歌Scholar上进行了全面的文献检索(2004-2025),使用与ICU库存、人工智能(AI)预测、射频识别(RFID)、采购和数字卫生物流相关的关键词。调查结果被综合成处理核心问题和干预措施的专题类别。关键战略包括实施自动跟踪系统、采用人工智能驱动的需求预测、使采购政策标准化、对ICU工作人员进行库存最佳做法培训以及建立应急缓冲库存。数字孪生和区块链等新兴技术因其提高透明度、响应能力和规划准确性的潜力而受到重视。此外,促进多源供应商合作伙伴关系和优化ICU存储空间可以进一步提高系统灵活性并减少浪费。总之,ICU供应链必须从被动的人工系统发展到主动的数据驱动框架。医院应投资于数字基础设施、员工培训和道德采购模式,以建立有弹性、具有成本效益和以患者为中心的供应链。