Meditsinskiy sovet = Medical Council, Journal Year: 2025, Volume and Issue: 23, P. 266 - 272
Published: Jan. 24, 2025
Introduction. Today, the traditional model of medical care is being supplemented and partially replaced by new forms its implementation. Thus, technologies based on artificial intelligence take over functions diagnosis, treatment, screening monitoring chronic diseases. Aim . To develop a methodology for remote questionnaire kidney disease in young people to optimize their diagnosis. Materials methods. The study involved 3,155 students aged 19.6 ± 1.5 years, whom 46.9% were men 53.1% women. During examination, all participants used screening. Results. A low degree risk was detected 57.4%, an average 30.9%, high 11.7% subjects. patients with highest frequency are concerned about complaints from endocrine (28.9%), digestive (21.8%), respiratory (21.1%), cardiovascular (20.1%) oncological alertness (8.1%). presence FR two or more pathology profiles determined 75.7% examined patients. Among most common nine related self-assessment emotional personal sphere. 96.6% surveyed 91.7% staff satisfied telemedicine system. Conclusions. 1. use HCNH provided wide coverage satisfaction services. 2. system allocates contingent subjects high, medium risk, as well critical disabilities need priority assistance. 3. combination data anamnestic examination clinical improves quality decision-making reduces subjective component. 4. statistical methods has shown good effectiveness integrated assessment health satisfactory detection disease. 5. HRH treatment costs life
Language: Английский