zdorПроблемы здоровья и экологииHealth and Ecology Issues2220-09672708-6011Gomel State Medical University10.51523/2708-6011.2026-23-2-15zdor-2982Research ArticleНОВЫЕ ТЕХНОЛОГИИNEW TECHNOLOGIESТехнология «Синтетический пациент» и разработка веб-приложения Surgical-Case-SimulatorTechnology “Synthetic patient” and development of Surgical-Case-Simulator web applicationhttps://orcid.org/0000-0002-9330-6513ЛитвинА. А.LitvinA. A.

Литвин Андрей Антонович, д.м.н., доцент, профессор кафедры хирургических болезней № 3

Гомель

Andrey A. Litvin, Doctor of Medical Sciences, Associate Professor, Professor at the Department of Surgical Diseases No. 3

Gomel

aalitvin@gmail.comhttps://orcid.org/0000-0001-8269-8075БерещенкоВ. В.BereshchenkoV. V.

Берещенко Валентин Владимирович, к.м.н., доцент, заведующий кафедрой   хирургических болезней № 3

Гомель

Valentin V. Bereshchenko, Candidate of Medical Sciences, Associate Professor, Head of the Department of Surgical Diseases No. 3

Gomel

val_71@inbox.ruhttps://orcid.org/0009-0001-4584-5539ГоловинФ. М.GolovinF. M.

Головин Федор Михайлович, старший преподаватель симуляционно-аттестационного центра

Гомель

Fedor M. Golovin, Senior Lecturer at the Simulation and Certification Center

Gomel

himic99@mail.ruhttps://orcid.org/0009-0009-3806-3676ЛёгенькийН. А.LeohenkiiN. A.

Лёгенький Николай Андреевич, студент 4-го курса лечебного факультета

Гомель

Nikolai A. Leohenkii, 4th year student at the Faculty of General Medicine

Gomel

leg.nikolay720@mail.ruГомельский государственный медицинский университетБеларусьGomel State Medical UniversityBelarus202605082026232125132Copyright © Литвин А.А., Берещенко В.В., Головин Ф.М., Лёгенький Н.А., 20262026Литвин А.А., Берещенко В.В., Головин Ф.М., Лёгенький Н.А.Litvin A.A., Bereshchenko V.V., Golovin F.M., Leohenkii N.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://journal.gsmu.by/jour/article/view/2982Цель исследования

Цель исследования. Проанализировать современное состояние и перспективы применения в медицинском образовании технологии «Синтетический пациент», разработать веб-приложение Surgical-Case-Simulator.

Материалы и методы

Материалы и методы. Проведен систематический поиск научных публикаций в базах данных PubMed, Scopus, Web of Science за период 2010–2025 гг. по ключевым словам: «synthetic patients», «virtual patients», «medical education», «artificial intelligence», «communication skills training». Проанализированные 50 наиболее релевантных исследований явились основой для оригинальной разработки веб-приложения Surgical-Case-Simulator.

Результаты

Результаты. Технология синтетических пациентов эволюционировала от простых игровых симуляций до сложных систем на основе генеративного искусственного интеллекта (ИИ). Современные платформы, использующие большие языковые модели, клонирование голоса и реалистичные аватары, позволяют создавать масштабируемые решения для учебного процесса. Исследования показывают, что применение виртуальных пациентов повышает уверенность обучающихся в дальнейшем общении с реальными пациентами и улучшает стандартизированную оценку коммуникативных навыков. Появление открытых разработок, таких как разработанный авторами Surgical-Case-Simulator, демонстрирует доступность и практическую реализуемость ИИ-симуляторов для широкого круга образовательных учреждений.

Заключение

Заключение. Синтетические пациенты представляют перспективное направление в медицинском образовании. Оптимальным подходом является их интеграция в существующие программы в качестве дополнения к традиционным методам. Требуются дальнейшие исследования для оценки сравнительной эффективности и решения этических вопросов внедрения ИИ-технологий.

Objective

Objective. To analyze the current state and prospects for the application of Synthetic Patient technology in medical education, and to develop the Surgical-Case-Simulator web application.

Materials and methods

Materials and methods. A systematic search of research publications was conducted in PubMed, Scopus, and Web of Science databases for the period of 2010–2025 using keywords: synthetic patients, virtual patients, medical education, artificial intelligence, communication skills training. 50 most relevant studies analyzed formed the basis for the original development of the Surgical-Case-Simulator web application.

Results

Results. Synthetic patient technology has evolved from simple game-based simulations to sophisticated systems based on generative artificial intelligence (AI). Modern platforms using large language models, voice cloning, and realistic avatars enable the creation of scalable solutions for the training process. Studies show that the use of virtual patients increases learners’ confidence in further communication with real patients, and improves standardized assessment of communication skills. The emergence of open-source developments such as Surgical-Case-Simulator demonstrates the accessibility and practical feasibility of AI simulators for a wide range of educational institutions.

Conclusion

Conclusion. Synthetic patients represent a promising direction in medical education. The optimal approach is their integration into existing programs as a complement to traditional methods. Further research is needed for evaluation of comparative efficacy, and solving ethical issues of implementing AI technologies.

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