To make the best of the Chinese medical information in electronic medical records, a visual organization method is proposed. Firstly, a medical information dataset based on electronic medical records and medical community web pages is constructed, which is preprocessed into text corpus. Secondly, a topic model using Mallet is trained and visualized the output of topic model. Finally, a visual analysis system for Chinese medical information is also built. Experiments showed that the system could effectively help the analyzers train topic models and diagnose.