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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">medsovet</journal-id><journal-title-group><journal-title xml:lang="ru">Медицинский Совет</journal-title><trans-title-group xml:lang="en"><trans-title>Meditsinskiy sovet = Medical Council</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2079-701X</issn><issn pub-type="epub">2658-5790</issn><publisher><publisher-name>REMEDIUM GROUP Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21518/2079-701X-2020-11-202-209</article-id><article-id custom-type="elpub" pub-id-type="custom">medsovet-5771</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ПРАКТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PRACTICE</subject></subj-group></article-categories><title-group><article-title>Разработка медицинской методологии телемедицинского скрининга здоровья взрослого населения в амбулаторном звене для популяционного мониторинга хронических неинфекционных заболеваний</article-title><trans-title-group xml:lang="en"><trans-title>Development of a medical methodology for telemedicine screening of adult health in outpatient settings for population monitoring of chronic noncommunicable diseases</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5623-4226</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Селиверстов</surname><given-names>П. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Seliverstov</surname><given-names>P. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Селиверстов Павел Васильевич, к.м.н., доцент кафедры внутренних болезней, клинической фармакологии и нефрологии </p><p>191015, Санкт-Петербург, ул. Кирочная, д. 41</p></bio><bio xml:lang="en"><p>Pavel V. Seliverstov, Cand. of Sci. (Med.), Associate Professor of the Department of Internal Diseases, Сlinical Pharmacology and Nephrology </p><p>41, Kirochnaya St., St Petersburg, 191015</p></bio><email xlink:type="simple">seliverstov-pv@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4297-8918</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бакаева</surname><given-names>С. Р.</given-names></name><name name-style="western" xml:lang="en"><surname>Bakaeva</surname><given-names>S. R.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Бакаева Софья Рафаэлевна, клинический ординатор кафедры внутренних болезней, клинической фармакологии и нефрологии </p><p>191015, Санкт-Петербург, ул. Кирочная, д. 41</p></bio><bio xml:lang="en"><p>Sofia R. Bakaeva, resident physician of the Department of Internal Diseases, Сlinical Pharmacology and Nephrology </p><p>41, Kirochnaya St., St Petersburg, 191015</p></bio><email xlink:type="simple">sshaidullina@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9764-4018</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шаповалов</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Shapovalov</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Шаповалов Валентин Викторович,д.техн.н., профессор, профессор кафедры биотехнических систем </p><p>197376, Санкт-Петербург, ул. Профессора Попова, д. 5</p></bio><bio xml:lang="en"><p>Valentin V. Shapovalov, Dr. of Sci. (Tech.), Professor, Professor of the Department of biotechnical systems </p><p>5, Prof. Popov, St Petersburg, 197376</p></bio><email xlink:type="simple">valshapovalov@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Северо-Западный государственный медицинский университет им. И.И. Мечникова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>North-Western State Medical University named after I.I. Mechnikov</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Санкт-Петербургский государственный электротехнический университет «ЛЭТИ»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Saint Petersburg Electrotechnical University “LETI”</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>08</day><month>08</month><year>2020</year></pub-date><volume>0</volume><issue>11</issue><fpage>202</fpage><lpage>209</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Селиверстов П.В., Бакаева С.Р., Шаповалов В.В., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Селиверстов П.В., Бакаева С.Р., Шаповалов В.В.</copyright-holder><copyright-holder xml:lang="en">Seliverstov P.V., Bakaeva S.R., Shapovalov V.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.med-sovet.pro/jour/article/view/5771">https://www.med-sovet.pro/jour/article/view/5771</self-uri><abstract><p>На сегодняшний день во многих странах мира отмечается неуклонный рост государственных расходов, связанных со здравоохранением. Одним из перспективных вариантов оптимизации этих затрат является повсеместное распространение телемедицины как способа дистанционного медицинского обслуживания. Известно, что основной вклад в здоровье отдельного человека и населения в целом вносит образ жизни. Эффективный скрининг, своевременное выявление факторов риска и заболеваний на ранних этапах их развития, диспансеризация, повсеместное открытие центров здоровья, кабинетов профилактики, школы здоровья – все эти мероприятия направлены на увеличение продолжительности и повышение качества жизни нации. Несмотря на доступность и относительно низкую стоимость известных программ для дистанционного скрининга, нельзя не упомянуть и их существенные минусы: отсутствие итоговых аналитических документов, охват одной или нескольких систем, необходимость очного визита к врачу для расчета рисков и определения дальнейшей тактики ведения пациента. В статье предлагается методология телемедицинского скрининга здоровья взрослого населения в амбулаторном звене с использованием системы анализа неструктурированных данных при популяционном мониторинге хронических неинфекционных заболеваний. Разработка основана на расчете рисков с помощью метода «Решающих правил», в качестве средства описания использована теория нечетких множеств. Результатом разработанной авторами методики является вариант телемедицинского анкетного скрининга, позволяющий определять риски здоровью по конкретным профилям, формировать итоговое заключение с рекомендациями по здоровому образу жизни, дальнейшему обследованию, лечению и профилактике хронических заболеваний. Разработка может использоваться в государственных и частных лечебно-профилактических учреждениях. Особый интерес представляет возможность интеграции программного обеспечения в медицинскую практику в сегодняшних условиях пандемии, а также в государственные проекты «Бережливая поликлиника», «Арктический доктор» и «Земский доктор».</p></abstract><trans-abstract xml:lang="en"><p>Today, in many countries of the world, there is a steady increase in public spending related to health. One of the promising options for optimizing these costs is the widespread use of telemedicine as a method of remote medical care. It is known that the main contribution to the health of an individual and the population as a whole is made by lifestyle. Effective screening, timely detection of risk factors and diseases at the early stages of their development, medical examinations, universal opening of health centers, prevention offices, health schools – all these measures are aimed at increasing the duration and quality of life of the nation. Despite the availability and relatively low cost of well-known programs for remote screening, it is impossible not to mention their significant disadvantages: the lack of final analytical documents, the coverage of one or more systems, the need for a face-to-face visit to the doctor to calculate risks and determine further patient management tactics. The article proposes a methodology for telemedicine screening of adult health in outpatient settings using a system for analyzing unstructured data for population monitoring of chronic non-communicable diseases. The development is based on risk calculation using the method of “decision rules” as a means of description used in the theory of fuzzy sets. The result of the method developed by the authors is a variant of telemedicine questionnaire screening, which allows determining health risks by specific profiles, forming a final conclusion with recommendations for a healthy lifestyle, further examination, treatment and prevention of chronic diseases. The development can be used in public and private medical institutions. Of particular interest is the possibility of integrating software into medical practice in the current conditions of the pandemic, as well as in the state projects “Lean polyclinic”, “Arctic doctor” and “Zemsky doctor”.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>телемедицина</kwd><kwd>профилактика</kwd><kwd>скрининг</kwd><kwd>расчет рисков</kwd><kwd>хронические неинфекционные заболевания</kwd></kwd-group><kwd-group xml:lang="en"><kwd>telemedicine</kwd><kwd>prevention</kwd><kwd>screening</kwd><kwd>risk assessment</kwd><kwd>chronic non-communicable diseases</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Проект разработки телемедицинской платформы стал победителем конкурса «УМНИК» в рамках национальной программы «Цифровая экономика Российской Федерации». Данное исследование проводится при поддержке Фонда содействия инновациям по договору №66ГУЦЭС8-D3/56432 от 21.12.2019 г. Также в рамках выполнения работ по договору на разрабатываемую программу получено свидетельство о государственной регистрации программы для ЭВМ №2020611264.</funding-statement><funding-statement xml:lang="en">The telemedicine platform project won the UMNIK (Brainbox) competition within the framework of the Digital Economy national program of the Russian Federation. This study is conducted with support of the Innovation Promotion Fund under contract No. 66GUTCES8-D3/56432 dated December 21, 2019. Also, a certificate of state registration of software application No. 2020611264 was obtained as part of the work under the software application contract.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Kim J., Alanazi H., Daim Т. Prospects for Telemedicine Adoption: Prognostic Modeling as Exemplified by Rural Areas of USA. 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