摘要
Abstract
The rapid development of data technologies has significantly expanded the application of data-driven approaches in blood inventory management.To elucidate the research evolution,identify key hotspots,and clarify future trends,a comprehensive review of existing research is conducted.Based on a systematic search across multiple authoritative databases,92 relevant studies are selected and analyzed using bibliometric and knowledge graph techniques.The analysis provides a macro-level examination from multiple perspectives,including publication volume,journal distribution,author collaboration networks,and keyword co-occurrence patterns.Three critical areas are focused:blood demand forecasting,inventory level control,and inventory allocation and distribution,while applications of data-driven methods in these areas are systematically summarized.Based on the limitations of existing research and the practical needs of the industry,future research directions are proposed from four aspects:research problems,methodological frameworks,data foundations,and system-level applications.To the best of our knowledge,no comprehensive review has yet been conducted focusing on data-driven blood inventory management.This study fills this gap by providing valuable insights into literature integration and structured analysis.The findings contribute to a better understanding of the current research progress and offer theoretical and methodological support for the intelligent transformation of blood inventory management.关键词
医疗与健康管理/血液库存管理/数据驱动/研究综述/知识图谱Key words
medical and health management/blood inventory management/data-driven/review/knowledge graph分类
经济学
