phgenomicsФармакогенетика и фармакогеномикаPharmacogenetics and Pharmacogenomics2588-05272686-8849LLC "Izdatelstvo OKI"phgenomics-167Research ArticleПРОГРАММНОЕ ОБЕСПЕЧЕНИЕSOFTWAREРоль информационных технологий во внедрении фармакогенетического тестирования в реальную клиническую практикуThe role of information technology in the implementation of pharmacogenetic testing in real clinical practiceКочетоваЕ. А.KochetovaE. A.

Кочетова Екатерина Анатольевна — студентка 4-ого курса, лечебного факультета.

119435, г. Москва, ул. Пироговская малая д.16, ком.508/1тел: +7 (925) 191-05-84 

Department of Clinical Pharmacology and Therapeutics

Moscow

katerina15101994@gmail.comПервый МГМУ им. И.М. СеченоваРоссияRussian Medical Academy of Postgraduate EducationRussian Federation201625032020012934Copyright © Кочетова Е.А., 20202020Кочетова Е.А.Kochetova E.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.pharmacogenetics-pharmacogenomics.ru/jour/article/view/167

Фармакогенетика является одним из главных инструментов персонализированной медицины. На сегодняшний день более 250 генов доступно для фармакогенетического тестирования. Разумеется, врачу трудно овладеть этой информацией в полном объёме и уверенно чувствовать себя при интерпретации результатов всех фармакогенетических (ФГ) тестов. На помощь врачам пришли системы поддержки принятия решений (СППР) с фармакогенетическим модулем, которые представляют собой современные информационные технологии. В данном обзоре рассматриваются различные виды СППР, их устройство и принцип работы. Кроме этого обсуждаются проблемы внедрения ФГ тестов в реальную клиническую практику.

Pharmacogenetics is one of the major tools of personalized medicine. Currently, there are more than 250 genes which are available for pharmacogenetic (PG) testing. Obviously, clinicians can’t handle all this information and feel self-confident while interpreting PG results. Clinical decision support system (CDSS) is known to help clinicians manage the complexities of genetics at the point of care. This review presents different types of CDSS, their architecture and how they work. Moreover, problems with implementation of PG tests in real clinical practice are discussed in this review.

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