Asthma is a heterogeneous, chronic, recurrent inflammatory lung disease that also affects children. In recent decades, the incidence of bronchial asthma has been steadily increasing. In 2021, the prevalence of asthma among Russian children aged 014 and 1517 years was 0.89% and 1.87%, respectively, but it has been known for a long time that the prevalence of asthma according to official statistics is lower than the real data. Therefore, a significant proportion of patients do not receive proper treatment, which ultimately affects the quality of life of patients and their parents. Early and correct diagnosis of bronchial asthma and identification of children with an uncontrolled course of the disease will provide an opportunity to select/change therapy to achieve remission, preventing possible negative consequences of the disease. In Moscow, according to Order No 947n of the Ministry of Health of Russia, in order to improve the quality of medical services, including outpatient care, the Unified Medical Information and Analytical System (UMIAS) has been implemented, which has improved the availability and quality of medical services of public health care institutions in the city. The article proposes simple algorithms, the integration of which into the UMIAS system will facilitate diagnosis verification for pediatricians and provide allergologists with tools for timely and structured routing of patients with uncontrolled bronchial asthma.