Abstract
Digitalization of healthcare opens up opportunities for applying new approaches to the organization of medical care, improving its quality, optimizing the use of healthcare resources. Digital twin is one of the new approaches, a virtual model of a physical object with dynamic bidirectional connections between a physical object and its corresponding twin in a digital environment. Digital twins allow to study, create and test new hypotheses, conduct experiments and research in silico. T h e a i m o f t h e s t u d y is to describe the existing Russian and foreign experience in the practical application of digital twins in the field of healthcare. M a t e r i a l s a n d m e t h o d s . The literature review was conducted in Pubmed and Elibrary databases. Publications describing ethical and regulatory aspects, industrial, engineering or logistics applications were excluded. The articles have passed two rounds of peer review. R e s u l t s . Digital twins are used in clinical medicine to test new methods of treatment and the body’s response to them, to simulate the work of organs and tissues. The application of the technology for the development of precision therapy in cardiology, oncology, endocrinology, gastroenterology, orthodontic treatment, rehabilitation, intensive care is described. The digital twin can be used by health authorities to model patient behavior, predict the spread of the infectious process, the work of a medical institution and its structural units in order to optimize resources. C o n c l u s i o n s . The article provides an overview of technology and the main areas of application of digital twins for personalized medicine, public health and smart healthy cities. The prospects for using digital twins lie in the field of creating smart “healthy” cities and regions.
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