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  • Есть ли возможности для повышения качества медицинской помощи без существенных финансовых вложений в России?
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
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Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Есть ли возможности для повышения качества медицинской помощи без существенных финансовых вложений в России?

Профилактическая медицина. 2023. Т. 26. № 10. С. 7–14.
Potapchik E.

Comparison of Russia in terms of the level of transparency of the healthcare system with other countries indicates that the country has a significant reserve for improving the quality of medical care by expanding the practice of public reporting in this area. Given the significant investments made in the country in the implementation of digitalization projects, the costs of implementing an open data policy may not require additional investments or may be insignificant. Given the accumulated evidence of the impact of increased transparency on the quality of care, the impact of providing adequate information to the public can be significant. Increasing transparency in Russia can be a cost-effective measure to improve the quality of care.

The assessed relatively low level of transparency in the Russian healthcare system indicates that there is room for improvement in the quality of care that can be successfully implemented through a relatively inexpensive strategy to increase openness and transparency of information.

Research target: Economics and Management
Language: Russian
DOI
Text on another site
Keywords: транспарентностьtransparencyкачество медицинской помощиquality of medical care
Publication based on the results of:
The impact of new epidemiological and economic conditions on the organization of medical care (2023)
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