Abstract: This paper uses the methods of scientometrics and knowledge mapping to show the distribution and theme characteristics of medical data visualization research at home and abroad in the past decade. It analyzes the commonalities of domestic and foreign related research, compares the main differences between the two, and digs out the existing problems in the current domestic medical data visualization research and proposes countermeasures. In the last 10 years, the number of documents published in the field of medical data visualization at home and abroad has been increasing year by year. In the last 5 years, the number of domestic related research has increased exponentially. The importance of domestic and foreign medical data visualization research has increased. However, compared with foreign research, the relevant domestic research show problems such as late start, lack of innovation and vitality of scientific research topics, large and insufficient granularity of research topics, limited data sources and application scopes, and insufficient forms of visualized research results. This research enumerates these outstanding problems one by one and puts forward suggestions for solutions, in order to provide reference for future medical data visualization research, and help the efficient use of medical data resources at the visualization level in the era of big data.

Key words: Medical Data, Data Visualization, CiteSpace, Knowledge Mapping, Comparative Analysis