Health digitalization alternative: is there one or not?

Abstract

The authors ask a question and give an ambiguous answer to it. On the one hand, there is no alternative to digitalization of healthcare, as this is confirmed by the global process of the Fourth Technological Revolution, the experience of foreign countries in testing and widespread adoption of interaction technologies between consumers and healthcare providers, as well as Russian achievements in introducing hightech medical care, and significant financial flow from federal structures for the development and consolidation of what has been achieved. At the same time, there are concerns that an alternative digitalization is possible, which the authors called "intermediate braking". "Intermediate braking" of the introduction of modern technologies into the functioning of the health care system is the state of the system characterized by "treading" on the spot and declaring the goals and objectives of digitalization while maintaining imbalances in the software and technical, staffing of innovations, as well as maintaining "paper" medicine along with electronic format of its content. Based on the analysis of publications in the scientific field and on specialized sites, a mechanism is presented that allows minimizing the risk of the implementation of "intermediate braking". It is based on the development and implementation of a single format for the technological and infrastructural development of digitalization of healthcare on a domestic and international scale.

Cluster Data Analysis with a Fuzzy Equivalence Relation to Substantiate a Medical Diagnosis

“…Computer technology is becoming an integral part of all areas of medicine and health care [40]. Decision support systems, which accumulate significant volumes of statistical information of a medical nature, make it possible to obtain in automated mode only the information that is required to provide a motivational basis for selecting the most appropriate MDD option for a particular patient from a recommended list.…”

Synthesis of neural network structure for the analysis of complex structured ocular fundus images

“…An important condition of any specialized development is the need to adapt it to specific regional standards and for it to work with the equipment and data formats used by the organization. The relevance of the present work on the automation of ocular diagnostics of fundus pathologies is due to [19] the need to develop domestic medical decision-making systems [21]- [24].The aim of the work is to increase the efficiency of ocular diagnostics of fundus pathologies, to reduce the burden on specialists, and to reduce negative human-factor impacts when making diagnoses by creating and using automated hybrid NN structures for intelligent segmentation of complex structured medical retinal images. The object of the research is an algorithm for noninvasive diagnostics of ocular fundus pathologies based on retinal images obtained by medical imaging techniques.…”