【Purpose/significance】With the popularization of cloud computing, MI discipline began to receive continuous attention from various academic circles. This study can not only reveal the historical tendency but also find out the most focused important is⁃ sues and foresee the future direction of this field.【Method/process】Therefore, this paper utilizes Latent Dirichlet Allocation (LDA) topic model to identify and mine the themes related to MI in the web of science database, and draws the evolution path of MI research topics using theories and methods such as life cycle theory, coefficient of variation method, and Kullback-Leibler divergence (KL).

【Result/conclusion】The results of the study show that MI's research themes are gradually shifting to the research direction of method, technology and practice, and emerging technologies and application directions such as medical data analysis, clinical data mining and health information technology will become the research hotspots of MI disciplines in the future.【Innovation/limitation】This article ex⁃ cavates and analyzes the global topic evolution of medical informatics from the perspective of life cycle, and provides reference for the future development of this subject. However, this article does not analyze from the perspective of each region.