Algorithms to improve the EMIAS system to optimize the routing of adolescents with atopic dermatitis

Abstract

Atopic dermatitis is a systemic, chronic, relapsing, inflammatory disease affecting mainly the skin. In recent decades, the incidence of atopic dermatitis has been steadily increasing. The burden of atopic dermatitis in adolescents is particularly severe because they are in a transitional and vulnerable growth phase with associated biological, cognitive, social, and emotional transformations.
 Early and correct diagnosis of atopic dermatitis, as well as the identification of adolescents with an uncontrolled course of the disease, will provide an opportunity to select/change therapy, which can lead to remission, preventing the negative effects of the disease. A number of studies have shown that the negative mental health effects of atopic dermatitis on adolescents include an increased risk for depression, attention deficit hyperactivity disorder, anxiety and behavior disorders, sleep disturbances, and suicidal ideation.
 EMIAS is a unified medical information and analytical system, which was created to improve the availability and quality of medical services provided by Moscow public health institutions. The introduction of EMIAS has led to improvements in the healthcare system.
 The article proposes validated and simple tools, the integration of which into the EMIAS system, will facilitate the verification of diagnosis and personalized (based on recommendations at the population level) management of adolescents with atopic dermatitis in the outpatient phase by pediatrician and allergist.