Objective: The analysis of the distant education experience of the students studying clinical subjects in medical university.Methods: 410 students of the ISMU pediatric department. Author’s questionnaire was used. It consisted of 3 parts: socio-economic, organizational and methodical.Results: Every second respondent noticed connection problems and every fourth – an increase in communication and equipment costs. 68.2% of students increased their level of knowledge through online learning, 40% had a negative opinion about distant learning (but every third respondent didn’t give definitive positive or negative conclusion). 57.5% of the participants noticed the relevance of the given marks. At the same time the distant method increased the time spent on studying two times or more.Conclusions: The technologies used for distant education LMS Moodle got a positive feedback from students. Distant learning in case of involuntary isolation allows to keep an appropriate level of training and can extend ordinary studying and provide an opportunity of self-preparing for classes. In future it is offered to use distant learning for self-study and estimation of the quality of theoretical knowledge.

Aim. To assess the effectiveness of screening methods for diagnosing autism spectrum disorders available to the pediatric service; to prove in practice impossibilities to identify signs of autism spectrum disorders by using the existed pediatric methods. Methods. The neuropsychological development of 187 preschool children (56 years old) was investigated. The neurological status, anxiety according to A.M. Parishioners, level of intelligence using Raven's Progressive Matrices, the presence of hyperactivity according to the method of V.R. Kuchma, mental performance according to V.Ya. Anfimov, screening diagnostics of autism spectrum disorders were studied. Results. Assessment of the neurological status showed an increase in tendon reflexes in 10.22.2% of children, a decrease in 12.32.4%. The study of the intelligence levels in the Ravenna test showed that the average intelligence level was in 47.13.7% of the studied children, the intelligence was below the average in 52.93.7% of children. Screening diagnostics of autism spectrum disorders did not reveal abnormalities, however, 5.31.6% of children had signs of predisposition to the autism spectrum disorder (decreased adaptation to changes, nervousness and fears, verbal and non-verbal communication, level of activity and consistency of intellectual response). The indicator of the productivity of mental performance of preschool children was 5.40.5. Attention deficit was detected in 5.91.7% of children (according to the parent's questionnaire) and 8.62.0% children (according to the teachers' questionnaire). The level of anxiety was 9.60.3 points. Conclusion. The currently known screening methods for detecting autism spectrum disorders, available to the pediatric service, in our opinion, are uninformative; the search for the most sensitive markers of autism should be based on an understanding of the epigenetic mechanisms of autism spectrum disorders.