Visual Analysis of Digital Healthcare Based on CiteSpace

Objective: Digital healthcare is rapidly becoming a new model for medical development in the information society with its convenience, and personalization, research boom digital has formed at home abroad recent years. The purpose of this study to conduct bibliometric analysis field understand background trend field. Methods: A visual authors, institutions, journals keywords was conducted using CiteSpace 5.8R3 software. Results: total 1646 healthcare-related retrieved from WoS PubMed studies. There an overall upward number publications, highest publications 2021 (290). author AZIZ SHEIKH ranked first published articles (13), while King Saud University (23) institution most articles. Keyword clustering showed that cluster data security; common high frequency appeared were systems (85), artificial intelligence (82), mobile health (70), internet (61), technology (57). healthcare, intelligence, services, machine learning deep are hotspot current research. Conclusion: This paper summarises state art Using statistical network visualisation, it highlights background, trends hot topics finds there significant potential help bridge divide reduce inequalities. To state, future directions research, can serve as reference.