Research Landscape of Blockchain and Computational Intelligence in Healthcare and Biomedical Fields

Abstract

This study provides a bibliometric examination of blockchain and computational intelligence in healthcare and biological research along with the benefits and challenges on this. The Web of Science database and VOSviewer software are used in the research to gather and evaluate relevant papers. The study looks at publishing trends, partnerships, research topics, and significant sources in the discipline. The data show a huge increase in research production over the years, as more people recognize the value of blockchain and computational intelligence in healthcare and biological research. Co-authorship analysis highlights notable writers and their cooperation, while co-occurrence analysis reveals the interconnection and significance of terms. Citation analysis identifies highly cited publications, whereas bibliographic coupling analysis identifies groups of connected sources. This study provides a comprehensive overview of the field, allowing researchers, practitioners, and policymakers to better understand the advancements and focus areas in blockchain and computational intelligence in healthcare and biomedical research, as well as to guide future developments in the field. Finally, the chapter focuses on the advantages and challenges of blockchain and computational intelligence in healthcare.

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