ORIGINAL RESEARCH

Potential of digital technologies supporting the principle of personalized medical aid in cardiovascular diseases

Gruzdeva AA1,2, Khokholov AL2, Ilyin MV2, Mushnikov DL3
About authors

1 Kostroma District Hospital No. 1, Kostroma, Russia

2 Yaroslavl State Medical University, Yaroslavl, Russia

3 Ivanovo State Medical Academy, Ivanovo, Russia

Corresponding author: Anna A. Gruzdeva
ul. Spasokukotskogo, 29/62, Kostroma, 156002, Russia; ur.liam@anna-avedzurg

About paper

Author contributions: Gruzdeva АА, Khokhlov АL, Ilyin МV — trial concept and design; Gruzdeva АА, Ilyin МV, Mushnikov DL– data capture and processing, Gruzdeva АА, Ilyin МV, Mushnikov DL — analysis and interpretation of results; Gruzdeva АА, Mushnikov DL — writing an article; Khokhlov АL, Ilyin МV — preparation and approval of a manuscript for publication.

Compliance with ethical standards: the study was approved by the Ethical Committee of the Yaroslavl State Medical University of the Ministry of Health of the Russian Federation (protocol No. 21 as of February 08, 2018). The informed voluntary consent was obtained for every participant. Adults were interviewed on a voluntary basis using questionnaires. The conducted trial doesn’t expose participants to danger and corresponds to the requirements of biomedical ethics.

Received: 2021-08-02 Accepted: 2021-08-23 Published online: 2021-09-30
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A study was undertaken to estimate the potential of digital technologies to support the principle of personalized medical aid in cardiovascular diseases. The study was done on the basis of the Kostroma region healthcare system. Information and methodological basis of the study comprised the polled data of 1400 patients aged 18–80 years old. A mixture of study methods was used: literature analysis, systemic and logical analysis, sociological (monitoring, expert assessment, content analysis, questioning, comparative analysis), statistical (grouping, ranking, correlation), pharmacoeconomic (cost-effectiveness, АBC/VEN-DDD-analysis, cost minimization) analysis, and organizational and functional modeling.

Keywords: digital technologies, personalized aid, aid organization

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