OPINION

Methodological aspects of risk monitoring for the human health shaping, maintenance, and preservation digital platform

Bogomolov AV1, Ushakov IB1, Popov VI2
About authors

1 State Scientific Center of the Russian Federation – Federal Medical Biophysical Center named after A. I. Burnazyan of the Federal Medical Biological Agency, Moscow, Russia

2 Burdenko Voronezh State Medical University, Voronezh, Russia

Correspondence should be addressed: Alexey V. Bogomolov
Zhivopisnaja, 46, Moscow, 123098, Russia; moc.liamg@volomogob.v.a

About paper

Author contribution: all authors contributed to data acquisition, manuscript writing, pre-printing treatment of the article.

Received: 2024-08-24 Accepted: 2024-09-15 Published online: 2024-09-27
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Solving the problems of ensuring long and active life of all Russians, regardless of their place of residence, requires the development and implementation of digital preventive medicine technologies. It is noted that it is necessary to develop and implement health risk monitoring consistent with the digital technology development level, principle of data-driven management, and conceptual provisions of the disease prediction and prevention, personalized and participatory nature of medical care to create the human health shaping, maintenance, and preservation digital platform. The paper provides the rationale for the fact that the block (cascade) diagram of occupational health changes in aviation, the use of which as part of the digital platform to be created requires enlargement of the set of blocks of the health risk minimization cascade and the cascade of the risk factor effect minimization aimed to consider all the health risk minimization potentialities, as well as to develop methodological support of the risk factor dose and health risk calculation aimed to cover the maximum number of social and occupational population groups, meets these requirements.

Keywords: health risk, cascade diagram of health changes, digital preventive medicine, health risk monitoring, digitalization of healthcare, data-driven management, 4P-medicine, health risk management

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