Psychology of patient adaptation to the use of artificial intelligence in screening for chronic noncommunicable diseases

Introduction. Today, the traditional model of medical care is being supplemented and partially replaced by new forms of its implementation. Thus, technologies based on artificial intelligence take over the functions of diagnosis, treatment, screening and monitoring of chronic diseases.

Aim. To develop a medical methodology for remote questionnaire screening of chronic kidney disease in young people to optimize their diagnosis.

Materials and methods. The study involved 3,155 students aged 19.6 ± 1.5 years, of whom 46.9% were men and 53.1% were women. During the medical examination, all participants used a remote questionnaire screening.

Results. A low degree of risk was detected in 57.4%, an average in 30.9%, and a high in 11.7% of the subjects. The patients with the highest frequency are concerned about complaints from the endocrine (28.9%), digestive (21.8%), respiratory (21.1%), cardiovascular (20.1%) and oncological alertness (8.1%). The presence of FR in two or more pathology profiles was determined in 75.7% of the examined patients. Among the most common FR are nine related to the self-assessment of the emotional and personal sphere. 96.6% of the surveyed and 91.7% of the medical staff are satisfied with the telemedicine system.

Conclusions. 1. The use of remote questionnaire screening of HCNH provided wide coverage and high satisfaction with medical services. 2. The system allocates a contingent of subjects with high, medium and low risk, as well as people with critical disabilities in need of priority assistance. 3. The combination of data from anamnestic remote examination and clinical examination improves the quality of medical decision-making and reduces its subjective component. 4. The use of statistical methods has shown good effectiveness of the integrated assessment of health and satisfactory for the detection of chronic kidney disease. 5. The use of remote questionnaire screening of HRH in young people reduces treatment costs and improves the quality of life of patients.

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