Feasibility of intelligent logistics management for operational efficiency in smart hospitals: a case study
5.5
来源：
Nature
关键字：
medical imaging+deep learning
发布时间：
2025-10-18 03:40
摘要：
The study explores the feasibility of an intelligent logistics management system in smart hospitals, focusing on its design and implementation in Shenzhen, China. The system integrates various platforms to optimize energy consumption and improve operational efficiency, achieving significant energy savings of up to 18.5%. By employing advanced technologies such as IoT and big data, the system enhances the management of hospital logistics, contributing to environmentally sustainable operations and cost reductions.
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价值维度分析
domain_focus
0.0
business_impact
1.0
scientific_rigor
1.5
timeliness_innovation
1.5
investment_perspective
0.5
market_value_relevance
1.0
team_institution_background
0.0
technical_barrier_competition
0.0
关键证据
The system demonstrated a reduction in energy consumption of up to 18.5%.
The intelligent logistics management system is designed to enhance operational efficiency in hospitals.
The study provides empirical data supporting the effectiveness of the system in energy savings.
真实性检查
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AI评分总结
The study explores the feasibility of an intelligent logistics management system in smart hospitals, focusing on its design and implementation in Shenzhen, China. The system integrates various platforms to optimize energy consumption and improve operational efficiency, achieving significant energy savings of up to 18.5%. By employing advanced technologies such as IoT and big data, the system enhances the management of hospital logistics, contributing to environmentally sustainable operations and cost reductions.