Russian MedicineRussian MedicineРоссийский медицинский журнал0869-21062412-9100Eco-Vector69557210.17816/medjrf695572VSPGBGReviewsНаучные обзорыReview ArticleDigital approaches to remote monitoring of patients with hypertension: a reviewЦифровые системы для дистанционного мониторинга пациентов с артериальной гипертензией: обзорhttps://orcid.org/0000-0003-0745-94747989-0581AndreevDmitry A.АндреевДмитрий Анатольевич
Russian Federation

MD, PhD

канд. наук

andreevda@zdrav.mos.ruResearch Institute for Healthcare Organization and Medical Management of Moscow Healthcare DepartmentНаучно-исследовательский институт организации здравоохранения и медицинского менеджмента Департамента здравоохранения города Москвы29042026120520263221801883110202511012026Copyright ©; 2026, Eco-VectorCopyright ©; 2026, Эко-Вектор2026Eco-VectorЭко-Векторhttps://creativecommons.org/licenses/by-nc-nd/4.0/https://medjrf.com/0869-2106/article/view/695572

Hypertension is a global public health problem. According to the World Health Organization (September 2025 data), at least 1.4 billion adults aged 30–79 years worldwide live with this condition. However, only 44% of patients receive treatment, and effective disease control (defined as achieving standard target blood pressure [BP] levels) is achieved in just 23% of those requiring therapy. This highlights the necessity of enhancing out-of-hospital blood pressure monitoring through the development of innovative digital remote systems.

This review aimed to identify the key characteristics of international digital systems for BP monitoring, including mobile applications, messengers, chatbots, artificial intelligence–based platforms, and smart devices. The work is based on an in-depth analysis of 38 substantial publications selected using Google ecosystem tools and relevant search queries in the PubMed database.

Digital technologies for BP monitoring are implemented using solutions that include automated BP measurement and recording systems, telemonitoring, remote patient communication tools, and computer-based medical data processing.

The implementation of these technologies considerably expands the capabilities for monitoring and follow-up of patients with hypertension, surpassing traditional methods. However, their widespread adoption requires technical device validation, standardization of application methodologies, training of personnel and patients, and additional research in real-world clinical settings.

Артериальная гипертензия — это глобальная проблема общественного здравоохранения. По данным Всемирной организации здравоохранения, представленным в сентябре 2025 г., в мире насчитывается не менее 1,4 млрд взрослых (30–79 лет), страдающих этим заболеванием. При этом терапию получают лишь 44% больных, а эффективный контроль заболевания с достижением стандартных целевых уровней артериального давления (АД) отмечается только у 23% нуждающихся в лечении. Это свидетельствует о необходимости совершенствования методов мониторинга АД у пациентов вне лечебных учреждений, что обусловливает важность разработки инновационных цифровых систем дистанционного мониторинга.

Цель данного обзора — определить ключевые характеристики зарубежных цифровых систем для мониторинга АД, включая мобильные приложения, мессенджеры, чат-боты, платформы на основе искусственного интеллекта и «умные» девайсы. Статья подготовлена по результатам глубокого анализа 38 наиболее значимых публикаций, отобранных с помощью инструментов экосистемы Google, а также путём релевантных поисковых запросов в библиографической базе PubMed.

Показано, что цифровые технологии для мониторинга динамики АД реализуются на основе информационно-технологических решений, включающих системы автоматизированного измерения и регистрации АД, телемониторинг, средства дистанционной коммуникации с пациентами и компьютерной обработки медицинских данных.

Внедрение этих технологий значительно расширяет возможности мониторинга и наблюдения за пациентами с артериальной гипертензией, превосходя традиционные методы. Однако для их широкого использования необходимы валидация технических устройств, стандартизация методологий применения, обучение персонала и пациентов, проведение дополнительных исследований в контексте реальной клинической практики.

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