Bibliometrically Mapping Disruptive Technologies in Healthcare Infrastructure of Smart Cites-The Future Agenda

Purpose – This study explores the impact of emerging healthcare technologies on the development of smart cities, aiming to understand how these technologies contribute to resilient and intelligent healthcare systems. Research methodology – A bibliometric analysis was conducted using 656 studies from the Scopus database, covering the period from 2011 to 2024. This analysis identifies key authors, influential works, and prominent research areas within the field. It focuses on the utilization of disruptive technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain within smart city healthcare frameworks. Findings – The analysis reveals a significant increase in research activity in this area over the past five years. While this growth is substantial, the research remains fragmented, with diverse focuses. The study highlights the current state of research regarding the application of AI, IoT, and Blockchain in smart city healthcare. Research limitations – The study is limited by its reliance on the Scopus database. Furthermore, the bibliometric approach provides a quantitative overview of the research landscape but may not fully capture the nuances and complexities of the individual studies. Practical implications – The findings can help policymakers, urban planners, and healthcare providers in developing and implementing effective strategies for integrating emerging technologies into smart city healthcare systems. By identifying key research trends and gaps, the study can also guide future research efforts. Originality/Value – This study offers a comprehensive bibliometric analysis of the evolving field of smart city healthcare, specifically focusing on the role of disruptive technologies. It provides valuable insights into the current research landscape, highlighting key areas of investigation and potential future directions. The focus on AI, IoT, and Blockchain within this context adds to the existing body of knowledge and provides a timely contribution to the field.

• Publication year

  2025

• Venue

  Journal of Information Systems Engineering & Management

• Publication date

  2025-04-02

• Fields of study

  Not labeled

• Identifiers
  DOI 10.52783/jisem.v10i31s.5130
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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