Telemedicine remote multidisciplinary questionnaire screening as a tool for early detection of chronic non-communicable diseases

Autor: P. V. Seliverstov, D. S. Bezruchko, A. V. Vasin, V. B. Grinevich, K. P. Semenov, O. V. Aleshko, V. V. Shapovalov
Rok vydání: 2023
Předmět:
Zdroj: Meditsinskiy sovet = Medical Council. :311-321
ISSN: 2658-5790
2079-701X
Popis: Chronic non-communicable diseases (CNID) are an important problem for health care worldwide. In this connection, there was a need to develop preventive measures aimed at their early detection and timely correction. Taking into account the available evidence base on the effectiveness of preventive measures to reduce risk factors of CNID, special attention should be paid to people with high risks of their development and patients with an already established diagnosis. To improve the quality of preventive medicine, it is necessary to consistently develop and implement modern technologies aimed at early detection of risk factors at all stages of human life using available tests. To date, remote screening is considered as one of the promising areas of telemedicine technologies, which can be successfully used during medical examinations, medical examinations, etc. We have developed a methodology for telemedicine multidisciplinary remote questionnaire screening of the adult population using a system of analysis of unstructured data for population monitoring of CNID. Our telemedicine program was tested based on the city polyclinic for the first stage of medical examination. Depending on the identified risk factors, it was found that patients with the greatest frequency are concerned about complaints from the endocrine, digestive, respiratory, cardiovascular systems and oncological alertness. The interim results of the study once again show that the transition to new social conditions causes an active destabilization of the physical and psycho-emotional capabilities of the human body, which, under excessive loads, are able to increase the degree of activity of the CNID risk factors.
Databáze: OpenAIRE