bekhterevОбозрение психиатрии и медицинской психологии имени В.М.БехтереваV.M. BEKHTEREV REVIEW OF PSYCHIATRY AND MEDICAL PSYCHOLOGY2313-70532713-055XV. M. BEKHTEREV NATIONAL RESEARCH MEDICAL CENTER FOR PSYCHIATRY AND NEUROLOGY OF THE RUSSIAN FEDERATION MINISTRY OF HEALTH10.31363/2313-7053-2022-4-96-100bekhterev-754Research ArticleВ ПОМОЩЬ ПРАКТИКУЮЩЕМУ ВРАЧУGUIDELINES FOR THE PRACTITIONERЦифровое фенотипирование как новый метод скрининга психических расстройствDigital phenotyping as a new method of screening for mental disordershttps://orcid.org/0000-0002-4658-2195КасьяновЕ. Д.KasyanovE. D.

Евгений Дмитриевич Касьянов, младший научный сотрудник

отделение трансляционной психиатрии

192019

ул. Бехтерева, 3

Санкт-Петербург

Evgeny D. Kasyanov

Saint Petersburg

ohkasyan@yandex.ruhttps://orcid.org/0000-0003-2526-0530КовалёваЯ. В.KovalevaYa. V.

Яна Викторовна Ковалёва, клинический ординатор

отделение трансляционной психиатрии

192019

ул. Бехтерева, 3

Санкт-Петербург

Yana V. Kovaleva

Saint Petersburg

yanakov97@yandex.ruhttps://orcid.org/0000-0001-7036-5927МазоГ. Э.MazoG. E.

Галина Элевна Мазо, д. м. н., заместитель директора по инновационному научному развитию, руководитель отделения

отделение трансляционной психиатрии

Санкт-Петербург

Galina E. Mazo

Saint Petersburg

galina-mazo@yandex.ruНациональный медицинский исследовательский центр психиатрии и неврологии им. В. М. БехтереваРоссияV. M. Bekhterev National Medical Research Center for Psychiatry and NeurologyRussian Federation20221812202256496100Copyright © Касьянов Е.Д., Ковалёва Я.В., Мазо Г.Э., 20222022Касьянов Е.Д., Ковалёва Я.В., Мазо Г.Э.Kasyanov E.D., Kovaleva Y.V., Mazo G.E.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.bekhterevreview.com/jour/article/view/754

   Внедрение информационных технологий неразрывно связано с повышением качества и доступности медицинской помощи, а также с сокращением расходов на медицинские услуги. Цифровое фенотипирование является одним из клинических инструментов в сфере информационных технологий, позволяющих оценить индивидуальный фенотип человека с помощью различных персональных информационных устройств, таких как смартфон, планшет, смарт-часы, различные датчики и прочие компьютерные средства. Преимуществом цифрового фенотипирования является возможность получать информацию о состоянии пациента в режиме реального времени, без стационарного и амбулаторного наблюдения и даже без активного участия самого пациента, что существенно расширяет возможности скрининга и диагностики психических расстройств, а также помогает отследить риски возникновения рецидивов и вовремя принять меры для предотвращения обострения заболевания. Информационные технологии имеют большие перспективы для использования в научных целях — предоставляют возможность проведения исследований в режиме онлайн, не требующих посещения исследовательских центров, вместе с тем позволяют сократить время и расходы на проводимые клинические испытания. Однако, использование цифрового фенотипирования в научных и клинических целях имеет ряд своих ограничений. Для дальнейшего усовершенствования цифрового фенотипирования в целях скрининга психопатологии и последующей оценки состояния пациентов необходима разработка новых психометрических инструментов, применяемых в электронном виде и лишённых недостатков опросников, которые применяются в настоящий период. В данном критическом обзоре приведены данные о современных возможностях и проблемах цифрового фенотипирования, а также о перспективах его развития.

   The introduction of information technologies is inextricably linked with improving the quality and accessibility of medical care, as well as reducing the cost of medical services. Digital phenotyping is one of the clinical tools in the field of information technology that allows you to evaluate a person’s phenotype using various personal information devices, such as a smartphone, tablet, smartwatch, various sensors and other computer tools. The advantage of digital phenotyping is the ability to receive information about the patient’s condition in real time, without inpatient and outpatient monitoring and even without the active participation of the patient himself. This fact significantly expands the possibilities of screening and diagnosis of mental disorders, and also helps to track the risks of relapses and take timely measures to prevent an exacerbation of the disease. Information technologies have great prospects for use for scientific purposes — they provide an opportunity to conduct research online that does not require visiting research centers, while at the same time reducing the time and costs of ongoing clinical trials. However, the use of digital phenotyping for scientific and clinical purposes has a number of limitations. For further improvement of digital phenotyping in order to screen psychopathology and subsequent assessment of the condition of patients, it is necessary to develop new psychometric tools used in electronic form and devoid of the shortcomings of questionnaires that are currently being used. This critical review provides data on the current opportunities and problems of digital phenotyping, as well as the prospects for its development.

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