Articles filtered by author Gusev A.V..
2024
MD&IT № 4 2024
Background. The key functionality of the medical information system (MIS) is the maintenance of electronic medical records (EMR), which play an integral role in modern healthcare practice, allowing medical organizations to consistently collect, systematize and provide medical professionals with access to information on the diagnosis and treatment of patients. Despite the existence of a large volume of accumulated EMRs and a long history of their design and development, modern EMRs have a rather ...
MD&IT № 3 2024
Review of methodological approaches to assessing the quality of electronic health records management
Transition to electronic medical records (EMR) is one of the basic directions of digital transformation of healthcare. One of the urgent modern problems of EMR management is the quality of data that are accumulated in modern medical information systems. Given the growing role of EMRs as a source of information for medical decision support systems, the introduction of management elements based on primary data, and the development of research in the field of real-world clinical practice data (RWD),...
MD&IT № 3 2024
Introduction. The introduction of artificial intelligence (AI) technologies in Russian healthcare is an important step to improve the efficiency and quality of medical care. The development of AI technologies helps automate data processing, support physician decision-making and improve predictive analytics.
Aim. Analysis of the results of creation and implementation of software solutions using AI technologies in Russian healthcare.
Materials and Methods: A systematic search for data in the State...
Aim. Analysis of the results of creation and implementation of software solutions using AI technologies in Russian healthcare.
Materials and Methods: A systematic search for data in the State...
MD&IT № 3 2024
State programs in the field of healthcare informatization implemented in 2011–2021 resulted in over 91% of state and municipal medical organizations implementing various medical information systems. This made it possible to start the transition to electronic medical records (EMR). The extraction of real-world data (RWD) from the accumulated EMRs and subsequent analysis of these data opens new and promising opportunities for the development of domestic healthcare.
Aim: to analyze the RWD extracted...
Aim: to analyze the RWD extracted...
MD&IT № 2 2024
Aim: to study digital health technologies presented in dissertation research in the specialty “Public Health and Healthcare” for 2018-2022.
Materials and methods: We found 194 dissertations posted on the official website of the Higher Attestation Commission in the specialty “Public Health and Healthcare” (02/14/03) for 2018-2022. We identified 72 dissertations which studied the use of digital technologies in healthcare.
The analysis of the obtained data was carried out using the interactive computing...
Materials and methods: We found 194 dissertations posted on the official website of the Higher Attestation Commission in the specialty “Public Health and Healthcare” (02/14/03) for 2018-2022. We identified 72 dissertations which studied the use of digital technologies in healthcare.
The analysis of the obtained data was carried out using the interactive computing...
MD&IT №1 2024
There is increasing interest in using big data of real clinical practice to develop artificial intelligence systems for diagnostic and predictive models of diseases and conditions. At the same time, the quality of this data is usually low due to errors during input, suboptimal architecture of information systems, lack of standardization, etc. The review examines criteria for the reliability of real-world data, the most common problems, and ways to eliminate them: assessing the compliance of the ...
MD&IT №4 2023
Implementation of Artificial Intelligence (AI) is considered one of the most promising directions in the digital transformation of healthcare. Such systems can improve the quality of therapeutic and diagnostic processes and the efficiency of planning and managing the healthcare industry. However, the potential of AI to enhance public health indicators and improve the functioning quality of the healthcare system is inextricably linked to ethical issues arising from the specific aspects of their creation...