Articles

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 ...

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),...

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...

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 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...

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 ...

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...

Aim: to develop a model predicting the incidence of newly diagnosed HIV infection in the subjects of the Russian Federation using machine learning methods.
Materials and methods: The initial data were obtained from the Federal statistical observation Form No. 61 and Rosstat data on the average annual population of 85 subjects of the Russian Federation (2016-2022). We made a comparison of machine learning methods and their ensembles in the construction of a regression model for predicting the incidence...

Aim. Healthcare is one of the priority sectors for the introduction of artificial intelligence (AI) technologies. The aim of the survey was to assess the awareness and collect opinions of Russian healthcare managers on AI technologies.
Materials and methods. An online survey was conducted in July-August 2022, using the Yandex.Forms service. The survey questionnaire consisted of 24 questions. An invitation to participate was sent to 1,105 Russian healthcare employees registered in the online community...

Introduction. Cardiovascular diseases remain the leading cause of death globally due to the global trend of aging. Mobile medicine — mHealth — is gaining more popularity each year. In this paper, we consider the effectiveness of mHealth in the prevention of cardiovascular events.
Materials and methods. The study was performed in accordance with PRISMA checklist. Original studies published in 2018-2022 were considered for inclusion in systematic review. Еlibrary, PubMed, Scopus, Google Scholar и...

The paper covers international experience in regulating the use of medical data for the development of artificial intelligence systems (AI) using machine learning methods. High-quality medical data sets are required for successful implementation of AI in medical practice and for higher efficiency of clinical and managerial decision-making. Such data sets are impossible to acquire, store and use without appropriate legal and regulatory framework that takes into account the interests of all participants...

There is a trend in the healthcare of the Russian Federation for the development and implementation of various information systems, including medical information systems of medical organizations (MIS MO), aimed automation of diagnostic, treatment, administrative, auxiliary and other processes, as well as radiological information systems (RIS), designed to automate the service of radiation diagnostics and radiology. Many of the currently utilized MIS were developed 10 and more years ago, are base...

The rationale for use of artificial intelligence (AI) in radiology departments to analyze medical images in real-life clinical practice was studied in a multicenter prospective trial. This was a part of the “Experiment on the use of innovative technologies in the field of computer vision for the analysis of medical images and further use in the healthcare system of Moscow” taking place in 2020. The trial included 18 different AI systems and 538 participating radiologists, all working wit...

Recently, a new coronavirus infection, or COVID 19, caused by the pathogen SARS-CoV 2, has been continuing to spread around the world rapidly. According to the World Health Organization (WHO), which declared this outbreak a pandemic, COVID 19 is a serious public health problem of international concern. Due to the lack of proven effective treatment and vaccination against COVID 19, precautions are considered by WHO to be strategic goals and a primary response to the pandemic. It is recomm...