From Patterns to Policy: A Scoping Review Based on Bibliometric Analysis (ScoRBA) of Intelligent and Secure Smart Hospital Ecosystems
2026-03-31 • Computers and Society
Computers and Society
AI summaryⓘ
The authors studied many research papers to understand how smart hospitals that use AI and secure technology are developing. They found three main focus areas: AI in healthcare, privacy-focused digital systems, and cloud-based infrastructures, all working together. They also noted challenges like making different systems work well together and real-life use. The authors suggest more research on explainable AI and privacy, and recommend policies that improve governance and infrastructure, especially in developing countries.
Intelligent healthcare systemsPrivacy-preserving technologiesCloud-edge computingArtificial Intelligence (AI)BlockchainFederated learningExplainable AIInteroperabilitySmart hospital ecosystems
Authors
Adi Wijaya, Budi Hermawan, Wiga Maulana Baihaqi, Catur Supriyanto
Abstract
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.