Articles

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),...

Aim. The purpose of this article is review and analyze methods for measuring cognitive load, as well as approaches to using machine learning techniques to identify EEG data.
Materials and methods. The review systematizes and summarizes the information on the topic under consideration. Scientific articles were searched in bibliographic databases: eLIBRARY, ScienceDirect, Scopus.
Results. This review focused on ways to measure the cognitive load of the brain, modern EEG recording devices, and methods...

One of the new developments in the field of artificial intelligence (AI) is the Chat-GPT (Generative Pre-trained Transformer) technology, a capacious linguistic model based on the analysis of big data using powerful computing systems through the aggregation of certain algorithms. Such technologies are capable of “understanding” and composing texts close to those created by humans. Their improvement and implementation can lead to better quality and accessibility of medical care for patients, including...

Experts predict global health spending to reach $16.9 trillion by 2050. However, 20% to 40% of all resources invested could be lost due to various forms of project inefficiency. An analysis of the content of three key information resources offering methodological and instrumental support for research aimed at the assessment of the cost-effectiveness of projects implemented in national health care systems was carried out. The resources analyzed were the following: World Health Organization's Choosing...

This paper analyzes Russian-language Android applications for psychological help, defines requirements and recommendations for the development of such apps. Psychological applications have been selected from the Google Play Market according to certain criteria. Therapeutic and engagement functions, goals, tags, number of downloads, and average score of each application have been recorded for the analysis. The aesthetics and usability of each application have also been evaluated on a five-point scale...

Background. The article presents the results of a review study on the origins of systematic healthcare informatization and the formation of digital healthcare in Russia, as it is now commonly called, since the 60s of the last century, and an analysis of how introduction of digital healthcare methods and technologies, and compulsory medical insurance (CMI) progressed over the years. A comprehensive analysis of the formation and development of digital healthcare on a nationwide scale has not been ...

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 ...

Cartographic presentation of information is especially in demand and visual for covering global and regional events, as well as assessing the location of stationary and non-stationary objects in the study area. Geoinformation systems (GIS) in epidemiological surveillance of parasitic diseases provide collection, storage, processing, access to information, display and dissemination of spatially coordinated data that can be used to solve scientific and applied problems: analysis, monitoring, assessment,...

The article contains systematized and summarized data on the possible uses of metaverse technologies in practical healthcare in order to assess the prospects of their widespread use. We searched PubMed and ScienceDirect for publications. The search resulted in 35 relevant articles published during 2021–2022 period.
Metaverses could be used both to create realistic immersive patient interactions and to improve diagnosis, treatment, and rehabilitation processes. The use of metaverses certainly has...

Background. Mobile Health (mHealth) is a hot research and development topic due to massive spread of smartphones and their high technical performance. Mobile apps for health vary in their functions, from dietary assistance and planning physical activities to “take a drug” reminding and others.
Aim: Assessing the capabilities of existing mobile apps for collecting personal medical data (lab results, radiography scans etc.).
Materials and methods. We performed a systematic search and analysis of...

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...

Auscultation is a classic method of examining patients with respiratory and cardiovascular pathologies. Auscultation is a subjective method, its diagnostic accuracy is highly dependent on the doctor’s experience. Electronic stethoscopes can increase the volume of audio recordings, eliminate noise, and store and transmit sound to a computer or smartphone. Wavelet transform, Butterworth filter, low and high pass filters are used to filter the resulting audio recordings. Machine learning methods, w...

Background. Long-term outcomes of screening programs are challenging to evaluate in randomized clinical trials. The role of predictive modeling is becoming increasingly popular in oncology. Modeling the interventions consequences in oncology is based, among other things, on the use of toolkits, denoted by the term «mathematical oncology» Aim. To study approaches to modeling screening scenarios for breast cancer, aimed at developing tools to support medical decision-making in the healthcare syste...

Hypertension is a complex cardiovascular condition, defined as an abnormally high blood pressure. Such long-term and consistent increase in blood pressure could result in coronary heart disease, stroke, kidney damage and other serious debilitating conditions. Complication rate from hypertension depends on how well you can predict and prevent those complications, considering individual patient’s risks. Several mathematical models and computer algorithms that are currently used for these purposes ...

Objective. To systematize data on the clinical applications of tele-ultrasound. Material and methods. Data was collected using PubMed (including MEDLINE), Embase, Google Scholar, CYBERLENINKA, and eLIBRARY. There were 1,036 articles which were subjected to text analysis using the Rayyan QCRI software package. Overall, the review included 74 articles related to the clinical applications of tele-ultrasound. The main points were summarized for these modalities. Results. The history of the c...