title: ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸ÑÑÐ¾Ð²ÑÑ ÑÐµÑÐ²Ð¸ÑÐ¾Ð² Ð´Ð»Ñ ÑÐ½Ð¸Ð¶ÐµÐ½Ð¸Ñ ÑÐ¸ÑÐºÐ¾Ð² Ð² ÑÐ¾Ð¿ÑÐ¾Ð²Ð¾Ð¶Ð´ÐµÐ½Ð¸Ð¸ Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ¾Ð² Ð² ÑÐ°Ð¼ÐºÐ°Ñ Ð¾ÐºÐ°Ð·Ð°Ð½Ð¸Ñ Ð²ÑÐ¿Ð¾Ð¼Ð¾Ð³Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐµÐ¿ÑÐ¾Ð´ÑÐºÑÐ¸Ð²Ð½ÑÑ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Using digital services to reduce risks in accompanying patients as part of the provision of assisted reproductive technologies
Creators: name: Ð Ð¾Ð¶Ð¸Ð½Ð°, ÐÐ°ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
Ð²ÑÐ¿Ð¾Ð¼Ð¾Ð³Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐµÐ¿ÑÐ¾Ð´ÑÐºÑÐ¸Ð²Ð½ÑÐµ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸
ÑÐºÐ°Ð»Ñ Ð¾ÑÐµÐ½Ð¸Ð²Ð°Ð½Ð¸Ñ
ÑÐ¸ÑÑÐµÐ¼Ð° Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ Ð²ÑÐ°ÑÐµÐ±Ð½ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹
assistance reproductive technologies
rating scales
medical decision support system

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description: The purpose of the research is to improve the quality of medical care through the use of medical decision support systems, regarding the use of assisted reproductive technologies (ART). The research was carried out on the basis of State Autonomous Institution of the Tyumen Region Â«Medical Information and Analytical CenterÂ». The subject of the thesisÂ  information systems and software products in the field of healthcare. Research methods: description, data analysis, classification of information received, modeling of processes and system architectures. The main results of the study: - within the framework of this work, an analysis of existing ART methods and the conditions for their use was carried out; - based on the data obtained on ART methods, possible risks that arise when using ART were described; - assessment scales that can be used to assess risks are analyzed; - model of the architecture of a medical information system is described, which includes a risk assessment function. - medical decision support system and further recommendations formed on the basis of this assessment. The field of application of results of the research and development work is information technology in the field of healthcare, in order to improve the quality of medical care. The scientific novelty is the described possibility of using medical decision support systems in the field of obstetrics and gynecology, namely in terms of the use of assisted reproductive technologies; for this purpose, an analysis of scales for assessing complications of obstetrics and gynecology was carried out and a solution was given to the possibility of integrating this assessment into medical information systems. Conclusions. Assisted reproductive technologies may be the only way to treat infertility, depending on the age group and duration of infertility itself. In each specific case, the method of infertility treatment is determined individually, based on an assessment of the patientâs condition. The use of ART is associated with possible complications, depending on the method used. To assess possible risks in work, scales have been proposed in accordance with clinical recommendations and protocols. Based on these scales, the architecture of a medical information system is proposed, which is integrated with a medical decision support system for assessing risk indicators.