Purpose/Significance To expound the content features of online medical reviews and its impact on the utilization of patients’ online consultation services, and to provide references for the information management of online medical platforms. Method/Process The LDA topic model based on TF-IDF is constructed, the semantic analysis method based on sentiment dictionary is adopted to mine the content features of online medical reviews, and the principal component analysis (PCA) is applied to classify and explore them, and the regression analysis is carried out by binary logistic. Result/Conclusion The content features of online medical reviews are divided into 3 categories, including 9 indicators. Among them, the attributes of reviewers, timeliness, consultation process, service attitude and platform feedback have a significant impact on the utilization of efficient online consultation services by patients. It is suggested to improve the utilization level of online consultation services by optimizing related services of online medical platform review section.