从模式到政策：基于文献计量分析（ScoRBA）的智能安全医院生态系统综述
From Patterns to Policy: A Scoping Review Based on Bibliometric Analysis (ScoRBA) of Intelligent and Secure Smart Hospital Ecosystems
AI总结：
本文通过ScoRBA方法分析891篇文献，揭示智能安全医院生态系统的三大集群及研究空白，提出政策建议以促进协调发展。
摘要：
本研究通过基于文献计量分析（ScoRBA）的综述，探讨智能安全医院生态系统的演变。通过共现分析、网络可视化、叠加分析和增强战略图（ESD），应用PAGER框架将模式、进展、缺口、研究方向和基于证据的政策建议联系起来。研究发现三个相互关联的集群：AI驱动的智能医疗系统、去中心化的隐私保护数字健康生态系统、可扩展的云边基础设施，显示出向集成生态系统架构的收敛，其中智能、信任和基础设施相互增强。尽管在AI、区块链和云计算方面取得进展，但 interoperability、实际应用、治理和跨层集成仍存在缺口。新兴主题如可解释AI、联邦学习和隐私机制凸显了需要进一步研究的领域。政策相关建议聚焦于协调治理、可扩展基础设施和安全数据生态系统，特别是发展中国家的环境。本研究将文献计量证据与可操作政策相结合，支持在智能医院发展中做出明智决策。
英文摘要：
This study examines the evolution of Intelligent and Secure Smart Hospital Ecosystems using a Scoping Review with Bibliometric Analysis (ScoRBA) to map research patterns, identify gaps, and derive policy implications. Analyzing 891 journal articles from Scopus (2006-2025) through co-occurrence analysis, network visualization, overlay analysis, and the Enhanced Strategic Diagram (ESD), the study applies the PAGER framework to link Patterns, Advances, Gaps, Research directions, and Evidence-based policy implications. Findings reveal three interrelated clusters: AI-driven intelligent healthcare systems, decentralized privacy-preserving digital health ecosystems, and scalable cloud-edge infrastructures, showing a convergence toward integrated ecosystem architectures where intelligence, trust, and infrastructure reinforce each other. Despite progress in AI, blockchain, and cloud computing, gaps remain in interoperability, real-world implementation, governance, and cross-layer integration. Emerging themes such as explainable AI, federated learning, and privacy mechanisms highlight areas needing further research. Policy-relevant recommendations focus on coordinated governance, scalable infrastructure, and secure data ecosystems, particularly for developing country contexts. The study bridges bibliometric evidence with actionable policies, supporting informed decision-making in smart hospital development.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
