ntvНаучно-технический вестник информационных технологий, механики и оптикиScientific and Technical Journal of Information Technologies, Mechanics and Optics2226-14942500-0373Университет ИТМО10.17586/2226-1494-2023-23-2-331-339ntv-379Research ArticleИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ И КОГНИТИВНЫЕ ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИARTIFICIAL INTELLIGENCE AND COGNITIVE INFORMATION TECHNOLOGIESРазработка технологии интерактивной мобильной поддержки пациентов с хроническими заболеваниямиAnalysis and control of user engagement in personalized mobile assisting software for chronic disease patientshttps://orcid.org/0000-0002-1006-0408КабышевМ. В.KabyshevM. V.

Кабышев Максим Васильевич — инженер

Санкт-Петербург, 197101

sc 57209273434

Maksim V. Kabyshev — Engineer

Saint Petersburg, 197101

sc 57209273434

mvkabyshev@itmo.ruhttps://orcid.org/0000-0001-8828-4615КовальчукС. В.KovalchukS. V.

Ковальчук Сергей Валерьевич — кандидат технических наук,доцент

Санкт-Петербург, 197101

sc 55382199400

Sergey V. Kovalchuk — PhD, Associate Professor

Saint Petersburg, 197101

sc 55382199400

kovalchuk@itmo.ruУниверситет ИТМОРоссияITMO UniversityRussian Federation202321122024232331339Copyright © Кабышев М.В., Ковальчук С.В., 20242024Кабышев М.В., Ковальчук С.В.Kabyshev M.V., Kovalchuk S.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ntv.elpub.ru/jour/article/view/379

Предмет исследования. Существующие решения мобильной поддержки пациентов не позволяют адаптировать пользовательский интерфейс к потребностям конкретного пользователя. Это снижает вовлеченность пациентов в процесс использования системы. Недостаток оперативной информации приводит к снижению качества лечения и возникновению потенциальных осложнений. В работе предложен вариант новой интерактивной мобильной системы поддержки пациентов. Представленная технология позволяет пациентам вносить и отслеживать информацию о своем здоровье в мобильном приложении, а врачам получать возможность удаленно контролировать ход лечения. Метод. Рассмотрены и продемонстрированы модели отслеживания вовлеченности пользователей, такие как модель пропорциональных рисков Кокса и модель случайных эффектов. Проанализировано применение A/B тестирования для улучшения пользовательского опыта. Основные результаты. Разработаны и реализованы архитектура мобильного приложения и веб-приложение, а также их взаимодействие. Построены модели оценки рисков для пациентов с хроническими заболеваниями. Показана работа технологии интерактивной поддержки пользователей в рамках единой мобильной системы. Практическая значимость. Разработанные модели могут быть использованы для построения широкого спектра телемедицинских решений с поддержкой взаимодействия как с медицинскими специалистами, так и с пациентами в рамках 4П подхода в медицине.

Existing solutions for patients support in mobile apps do not allow customization of the user interface to the needs of a particular user. It reduces the involvement of patients in the process of using the system. The lack of information leads to a decrease in the quality of treatment and the emergence of potential complications. The paper proposes a variant of a new interactive mobile patient support system. This technology allows patients to enter data about their health into a mobile application and track the dynamics in time, and doctors can monitor the course of treatment remotely. Models for tracking user engagement, such as the Cox proportional hazards model and the random effects model, are considered and demonstrated. The use of A/B testing to improve user experience is analyzed. The architecture of the mobile application, web application, and their interaction was developed and implemented. Risk assessment models for patients with chronic diseases have been built. The work of interactive user support technology within a single interactive system is shown. The developed approaches can be used to build a wide range of telemedicine solutions that support interaction with both medical specialists and patients within the framework of the 4P approach in medicine.

мобильное медицинское приложениепомощь на расстояниипрогностические моделивзаимодействие с пользователемпользовательский опытпациенты с хроническими заболеваниямиmobile health applicationremote assistingmobile applicationpredictive modelsuser engagementuser experiencechronic disease patientsРабота поддержана Министерством науки и высшего образования Российской Федерации, государственное задание № 2019-1339.This work was supported by the Ministry of Science and Higher Education of the Russian Federation, Goszadanie (State Assignment) No. 2019-1339.ReferencesReynolds R., Dennis S., Hasan I., Slewa J., Chen W., Tian D., Bobba S., Zwar N. A systematic review of chronic disease management interventions in primary care // BMC Family Practice. 2018. V. 19. N 1. P. 11. https://doi.org/10.1186/s12875-017-0692-3Reynolds R., Dennis S., Hasan I., Slewa J., Chen W., Tian D., Bobba S., Zwar N. A systematic review of chronic disease management interventions in primary care. 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The authors declare that there are no conflicts of interest present.