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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">zdme</journal-id><journal-title-group><journal-title xml:lang="ru">Здоровье мегаполиса</journal-title><trans-title-group xml:lang="en"><trans-title>City Healthcare</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2713-2617</issn><publisher><publisher-name>ГБУ «НИИОЗММ ДЗМ»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.47619/2713-2617.zm.2025.v.6i4-1;7-15</article-id><article-id custom-type="elpub" pub-id-type="custom">zdme-303</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>ОРИГИНАЛЬНЫЕ ИССЛЕДОВАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL RESEARCHES</subject></subj-group></article-categories><title-group><article-title>Потребность современного лабораторного центра в автоматизации: объемы исследований, перспективные методы</article-title><trans-title-group xml:lang="en"><trans-title>The Need for Automation in a Modern Laboratory Center: Testing Workload, Promising Methods</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-0467-1010</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кюркчу</surname><given-names>И. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kyurkchu</surname><given-names>I. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кюркчу Игорь Андреевич – ведущий программист лаборатории научно-организационных технологий ГБУЗ «МНПЦЛИ ДЗМ».</p><p>115580, Москва, Ореховый б-р, д. 49, к. 1</p></bio><bio xml:lang="en"><p>Igor A. Kyurkchu – Research Software Specialist at the Laboratory of Scientific and Organizational Technologies, Moscow Scientific and Practical Center for Laboratory Research of Moscow Healthcare Department.</p><p>49 bldg. 1, Orekhoviy bulvar, 115580, Moscow</p></bio><email xlink:type="simple">KruckuIA@dcli.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/0009-0007-0997-9672</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Коломиец</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kolomiets</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Коломиец Евгений Владимирович – заведующий лабораторией научно-организационных технологий ГБУЗ «МНПЦЛИ ДЗМ».</p><p>115580, Москва, Ореховый б-р, д. 49, к. 1</p></bio><bio xml:lang="en"><p>Evgeny V. Kolomiets – Head of the Laboratory of Scientific and Organizational Technologies, Moscow Scientific and Practical Center for Laboratory Research of Moscow Healthcare Department.</p><p>49 bldg. 1, Orekhoviy bulvar, 115580, Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0001-6753-2816</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Повадырь</surname><given-names>В. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Povadyr</surname><given-names>V. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Повадырь Владимир Дмитриевич – лаборант-исследователь лаборатории научно-организационных технологий ГБУЗ «МНПЦЛИ ДЗМ».</p><p>115580, Москва, Ореховый б-р, д. 49, к. 1</p></bio><bio xml:lang="en"><p>Vladimir D. Povadyr – Research Laboratory Technician at the Laboratory of Scientific and Organizational Technologies, Moscow Scientific and Practical Center for Laboratory Research of Moscow Healthcare Department.</p><p>49 bldg. 1, Orekhoviy bulvar, 115580, Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шпакова</surname><given-names>О. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Shpakova</surname><given-names>O. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Шпакова Ольга Геннадьевна – заведующая клинико-диагностической лабораторией молекулярно-генетических исследований ЛЦ № 1 ГБУЗ «МНПЦЛИ ДЗМ».</p><p>115580, Москва, Ореховый б-р, д. 49, к. 1</p></bio><bio xml:lang="en"><p>Olga G. Shpakova – Head of the Clinical Diagnostic Laboratory at the Laboratory Center No. 1, Moscow Scientific and Practical Center for Laboratory Research of Moscow Healthcare Department.</p><p>49 bldg. 1, Orekhoviy bulvar, 115580, Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-8597-7125</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Комаров</surname><given-names>А. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Komarov</surname><given-names>A. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Комаров Андрей Григорьевич – главный внештатный специалист по клинической лабораторной диагностике ДЗМ, директор ГБУЗ «МНПЦЛИ ДЗМ».</p><p>115580, Москва, Ореховый б-р, д. 49, к. 1</p></bio><bio xml:lang="en"><p>Andrey G. Komarov – Chief Specialist on Clinical Laboratory Diagnostics of Moscow Healthcare Department, Head of Moscow Scientific and Practical Center for Laboratory Research of Moscow Healthcare Department.</p><p>49 bldg. 1, Orekhoviy bulvar, 115580, Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский научно-практический центр лабораторных исследований Департамента здравоохранения города Москвы</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow Scientific and Practical Center for Laboratory Research of Moscow Healthcare Department</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>23</day><month>12</month><year>2025</year></pub-date><volume>6</volume><issue>4</issue><fpage>7</fpage><lpage>15</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Кюркчу И.А., Коломиец Е.В., Повадырь В.Д., Шпакова О.Г., Комаров А.Г., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Кюркчу И.А., Коломиец Е.В., Повадырь В.Д., Шпакова О.Г., Комаров А.Г.</copyright-holder><copyright-holder xml:lang="en">Kyurkchu I.A., Kolomiets E.V., Povadyr V.D., Shpakova O.G., Komarov A.G.</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.city-healthcare.com/jour/article/view/303">https://www.city-healthcare.com/jour/article/view/303</self-uri><abstract><sec><title>Введение</title><p>Введение. В настоящий момент здравоохранение сталкивается с увеличением нагрузки на производственные процессы, осуществляемые клиническими лабораториями. Количество пациентов, сдающих анализы, неуклонно растет, вызывая соразмерный рост количества рутинных операций, выполняемых персоналом лаборатории для реализации полного цикла анализа. Для оптимизации процессов клинических лабораторий и разгрузки персонала важно внедрять принципиально новые модульные устройства, которые смогли бы в силу своей универсальности и мобильности эффективно встроиться в уже существующие бизнес-процессы.</p><p>Цель – рассмотреть и численно оценить существующую динамику роста производственной нагрузки на клинические лаборатории, выявить рутинные неавтоматизированные процессы, которые необходимы к выполнению полного цикла анализа, рассчитать затрачиваемое на них время, а также рассмотреть возможные решения по их автоматизации.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. В исследовании использованы статистические данные Московского научно-практического центра лабораторных исследований Департамента здравоохранения города Москвы за 2021–2025 гг. Проведен качественный и количественный анализ числа обращений пациентов, поступающих в производство проб, а также производимых анализов. Для оценки трудоемкости рутинных операций использовались нормативные правовые документы и внутренние расчеты, основанные на хронометражных данных. Среднесуточные временные затраты для выполнения анализируемых процессов были рассчитаны для актуального усредненного ежедневного объема поступающих в обработку образцов (95 тыс.).</p></sec><sec><title>Результаты</title><p>Результаты. С 2021 по 2025 г. в крупнейшем лабораторном комплексе России среднемесячное количество пациентов возросло на 96%, число обработанных проб – на 187%, количество выполняемых исследований – на 380%. Среднее ежедневное время, необходимое для выполнения всех ручных операций, возросло с 280 до 820 ч. Показана высокая перспективность автоматизации приведенных манипуляций с использованием модульных решений на основе шестиосевых коллаборативных роботов.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. Currently, healthcare is facing an increasing burden on the operational processes in clinical laboratories. The number of patients undergoing tests is steadily increasing, which leads to a proportional increase in the routine workflow of laboratory staff to perform the total testing process. To optimize the processes of clinical laboratories and ensure staff offload, it is crucial to consider the introduction of fundamentally new modular devices that, due to their versatility and mobility, could effectively integrate into existing business processes.</p><p>The purpose of this work was to review and measure the existing dynamics of the operational load in clinical laboratories, identify routine non-automated processes that are necessary to perform a full testing cycle, calculate the actual time spent, and consider possible solutions for process automation.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. In this study, statistical data from the Moscow Scientific and Practical Center for Laboratory Research of the Moscow Healthcare Department for the period 2021–2025 was used. A qualitative and quantitative analysis of the number of sample referrals for laboratory testing, as well as the tests performed, was carried out. Regulatory documents and internal time calculations to assess the time-consuming routine operations were used. The average daily time required to perform the analyzed processes was calculated for the current average daily volume of samples received for processing (95 thousand).</p></sec><sec><title>Results</title><p>Results. For the period from 2021 to 2025, the largest laboratory complex in Russia saw an average monthly increase of patients by 96%, the number of samples processed by 187%, and the number of tests performed by 380%. The average daily time required to perform all manual operations has increased from 280 to 820 hours. High potential of process automation using modular solutions based on 6-axis collaborative robots has been revealed.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>клиническая лаборатория</kwd><kwd>количество обрабатываемых проб</kwd><kwd>количество исследований</kwd><kwd>количество пациентов</kwd><kwd>рутинные процессы</kwd><kwd>автоматизация</kwd><kwd>коллаборативные роботы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>clinical laboratory</kwd><kwd>number of processed samples</kwd><kwd>number of tests</kwd><kwd>number of patients</kwd><kwd>routine processes</kwd><kwd>automation</kwd><kwd>collaborative robots</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">статья подготовлена при поддержке Департамента здравоохранения города Москвы в рамках научно-исследовательской работы (№ ЕГИСУ: 125090310052-0) в соответствии с программой «Научное обеспечение столичного здравоохранения» на 2023–2025 гг.</funding-statement><funding-statement xml:lang="en">This work was supported by Moscow Healthcare Department within the framework of a research (No. EGISU: 125090310052-0) in accordance with the program “Scientific Support of Moscow Healthcare” for the period 2023-2025</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">Shuva P., Muhtasim R., Abrar Y. et al. 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