The paper introduces the construction of standardized health insurance monitoring model based on data mining from the following aspects: data set establishment, model design, health insurance audition related indexes construction, original data set preprocessing, clustering feature generation based on K-means, data classification, post-processing model and so on, in order to improve audition efficiency of medical expenses and reduce the waste of medical resources.