rfhealthЗдравоохранение Российской ФедерацииHealth care of the Russian Federation0044-197X2412-0723Federal Scientific Center of Hygiene named after F.F. Erisman10.47470/0044-197X-2025-69-3-289-294aunowjrfhealth-1924Research ArticleДИСКУССИИDISCUSSIONSПациент-ориентированные системы для цифровой профилактики хронических неинфекционных заболеваний (обзор литературы)Patient-oriented systems for digital prevention of chronic non-communicable diseaseshttps://orcid.org/0000-0003-3779-7992АфанасьеваТатьяна ВасильевнаAfanasievaTatyana V.

Профессор каф. информатики, ФГБОУ ВО РЭУ им. Г.В. Плеханова, 117997, Москва, Россия

e-mail: afanaseva.tv@rea.ru, tv.afanasjeva@gmail.com

Professor, Department of Informatics, Plekhanov Russian University of Economics, Moscow, 117997, Russian Federation

e-mail: tv.afanasjeva@gmail.com

afanaseva.tv@rea.ruhttps://orcid.org/0009-0001-6654-986XЗамашкинЮрий СергеевичZamashkinIurii S.

Семейный врач, кардиолог, медицинский директор отделения ООО «Глобал медикал систем», 127018, Москва, Россия

e-mail: yzamashkin@gmail.com

Family doctor, cardiologist, Medical Director of the Global Medical System unit, Moscow, 127018, Russian Federation

e-mail: yzamashkin@gmail.com

yzamashkin@gmail.comФГБОУ ВО «Российский экономический университет им. Г.В. Плеханова»Plekhanov Russian University of EconomicsООО «Глобал медикал систем»Global Medical System202501082025693289294Copyright © Афанасьева Т.В., Замашкин Ю.С., 20252025Афанасьева Т.В., Замашкин Ю.С.Afanasieva T.V., Zamashkin I.S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.rfhealth.ru/jour/article/view/1924Введение

Введение. Развитие цифровизации здравоохранения на основе цифровых и информационных технологий обеспечило рост систем, ориентированных на пациентов для профилактики хронических неинфекционных заболеваний. В этом аспекте пациент-ориентированные системы (ПОС) выступают средством управления здоровьем человека и инновационным инструментом цифровой профилактики заболеваний. Под цифровой профилактикой заболеваний будем понимать область цифрового здравоохранения, сфокусированную на применении информационных и коммуникационных технологий, а именно цифровых устройств и приложений, для решения задач профилактической помощи населению.

Цель — систематизировать публикации, посвящённые ПОС для профилактики хронических неинфекционных заболеваний и представить их многоаспектную классификацию.

Выбор публикаций выполняли с помощью поисковых систем и информационных ресурсов elibrary.ru, sciencedirect, BMJ, MEDLINE/PubMed, Elsevier, Springer, MDPI, Sage journals, JMIR за 2013–2023 гг. В результате экспертного анализа в обзор были включены 54 публикации.

Даны определения понятий «Цифровая профилактика», «Пациент-ориентированные системы», приведена многоаспектная классификация публикаций в области ПОС: по основному назначению (28%), контенту (13%), используемым цифровым технологиям (39%), виду решаемых задач в области профилактики заболеваний (41%). Также проанализированы публикации, в которых применялись технологии искусственного интеллекта в рамках ПОС (13%) и готовые к использованию цифровые решения (20%).

Заключение

Заключение. Результаты будут способствовать дальнейшему исследованию, оптимальному внедрению и эффективному использованию цифровых технологий в виде ПОС для улучшения результатов профилактических мероприятий у пациентов с хроническими неинфекционными заболеваниями и развития цифровой профилактики заболеваний.

Участие авторов

Участие авторов: Афанасьева Т.В. — концепция и дизайн исследования, поиск и классификация публикаций, написание текста, составление списка литературы; Замашкин Ю.С. — написание текста, обработка и анализ публикаций, редактирование. Все соавторы — утверждение окончательного варианта статьи, ответственность за целостность всех частей статьи.

Финансирование

Финансирование. Исследование выполнено в рамках государственного задания в сфере научной деятельности Министерства науки и высшего образования РФ на тему «Модели, методы и алгоритмы искусственного интеллекта в задачах экономики для анализа и стилизации многомерных данных, прогнозирования временных рядов и проектирования рекомендательных систем», номер проекта FSSW-2023-0004.

Конфликт интересов

Конфликт интересов. Авторы декларируют отсутствие явных и потенциальных конфликтов интересов в связи с публикацией данной статьи.

Поступила

Поступила: 04.10.2023 / Принята к печати: 20.12.2023 / Опубликована: 30.06.2025

Introduction

Introduction. The development of digitalization in healthcare based on digital information technologies has ensured the growth of patient-oriented systems for the prevention of chronic non-communicable diseases. In this aspect, patient-oriented systems act as a means of managing the health in each person and an innovative tool for digital disease prevention. With digital prevention of the disease we understand the field of digital health, focused on the use of information and communication technologies, namely digital devices and applications, to solve problems of preventive care for the population.

The purpose of the article is to systematize publications devoted to patient-oriented systems for the prevention of chronic non-communicable diseases and to present their multidimensional classification.

The selection of publications was carried out using search engines and information resources elibrary.ru, ScienceDirect, BMJ, MEDLINE/PubMed, Elsevier, Springer, MDPI, Sage Journals, JMIR for the period from 2013 to 2023. As a result of expert analysis, fifty four publications were included in the review. Definitions of the concepts “Digital Prevention”, “Patient-oriented Systems” are given, a multidimensional classification of reports in the field of patient-oriented systems is given: by main purpose (28%), by content (13%), by digital technologies used (39%), by type of tasks being solved in the field of disease prevention (41%). We also analyzed reports that used artificial intelligence technologies within patient-oriented systems (13%) and ready-to-use digital solutions (20%).

Conclusion

Conclusion. The results will contribute to further research, optimal implementation and effective use of digital technologies in the form of patient-oriented systems to improve the results of preventive measures for patients with chronic non-communicable diseases and the development of digital disease prevention.

Contribution of the authors: Afanasieva T.V. — concept and design of the study, search and synthesis of publications, writing the text, compiling a list of references; Zamashkin Iu.S. — text writing, processing and analysis of publications, editing. All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.

Conflict of interest

Conflict of interest. The authors declare no conflict of interest.

Funding

Funding. This research was performed within the framework of the state task in the field of scientific activity of the Ministry of Science and Higher Education of the Russian Federation, project “Models, methods, and algorithms of artificial intelligence in the problems of economics for the analysis and style transfer of multidimensional datasets, time series forecasting, and recommendation systems design”, grant no. FSSW-2023-0004.

Received

Received: October 4, 2023/ Accepted: December 20, 2023 / Published: June 30, 2025

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The authors declare that there are no conflicts of interest present.