Articles

The article describes the stages of development of electronic medical document management (EMD) in the Russian Federation healthcare based on structured electronic medical documents (SEMD), as the basis for the «digital transformation» of the industry, including key aspects of technology development, methodology and regulatory frameworks.
The main indicators of digital health performance in terms of volume and types of electronic documents recorded are presented. The main prospects for the development...

The introduction of digital medical services, which has been actively pursued in recent years in the Russian Federation, is aimed at improving accessibility of medical care and the convenience of patient interaction with the health care system. However, age-related barriers to the use of these services by the elderly can partially offset this potential. In this regard, this paper studies the most pressing problems in the use of digital medical services by patients of older working age and search...

The aim of the study was to evaluate the performance of SMOTE, GAN and VAE data synthesis methods in the task of predicting postoperative atrial fibrillation (PoAF) and in-hospital mortality (IHM) in coronary heart disease (CH) patients after coronary artery bypass grafting (CABG).
Materials and methods. A single-center retrospective study was conducted, in which the medical history data of 999 patients with CHD undergoing elective CABG were analyzed. The end points of the study were PoAF and IHM....

This study is aimed at developing a hardware-software system (HSS) for the rehabilitation of patients with mild (subclinical) and severe disorders of cognitive processes and motor functions of the upper extremities based on the application of multimodal biofeedback (BFB) including transcranial magnetic stimulation (TMS).
Materials and Methods: Electroencephalography (EEG) data with additional channels for electromyogram (EMG) recordings data of healthy volunteers were used in the work. The spatial...

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 ...

Background. The difficulty in diagnosing of hereditary connective tissue diseases (HDCTD) in children lies in the variability of signs of individual nosologic forms and lack of experience of physicians due to the low frequency of occurrence of these pathological conditions. Incorrect and untimely diagnosis often leads to negative consequences for the patient, including disability and death. Many pediatricians need consultative support from more experienced colleagues when diagnosing rare diseases....

Aim: to analyze the results of the implementation and use of a product with artificial intelligence (AI) technology in the practice of radiologists during mammographic examination.
Materials and methods: database of patients who underwent mammographic examination within the framework of medical examination of certain groups of the adult population and preventive medical check-ups, whose images were reviewed by specialists of the Reference Center of the Krasnoyarsk Regional Clinical Oncology Dispensary...

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...

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...

Objective. The study is devoted to modern forms of case method implementation as a key tool in the development of clinical thinking of doctors. The main factors complicating the creation of situational tasks and limiting the large-scale application of this method in medical education are identified.
Materials and methods. The concept of using large language models (LLM) to reduce the complexity and labor intensity of developing situational tasks in medical education is proposed.
Results. A prototype...

Background. Diagnosis of early-stage chronic kidney disease (CKD) is a global challenge, as late-stage disease is more commonly diagnosed. The development of modeling methods for making management decisions aimed at improving the efficiency of early diagnosis of CKD is an important scientific and practical task, which can be greatly supported by the use of machine learning algorithms (MLA).
Aim. To improve the accuracy of diagnosis of CKD using data from history, clinical-instrumental, genetic ...

This paper considers the problem of simultaneous prescription of a large number of drugs to a patient and consideration of possible risks of polypharmocotherapy. At high risk of polypharmocotherapy it is necessary to revise the prescribed drugs, consider analogs, change the method of administration or reduce the dosage, which requires high qualification and knowledge of the doctor. With automatic risk prediction, it is possible to automate the process of searching for a rational combination of d...

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...

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...

Цифровые технологии с каждым годом играют все большую роль в медицине. Однако цифровые навыки медицинских работников остаются основным ограничивающим фактором для внедрения все более продвинутых технологических решений. В данном исследовании представлены данные опроса, проведенного на портале Непрерывного медицинского и фармацевтического образования, в котором приняли участие более 18 тысяч медицинских работников. Были выделены и проанализированы группы согласно уровню цифровых компетенций. Был...

Background. Primary hyperparathyroidism (PHPT) is an endocrine disease characterized by excessive production of parathyroid hormone (PTH) and elevated or high-normal blood calcium levels caused by primary pathology of the parathyroid glands. The "classic" complication of PHPT is a decrease in the kidneys filtration function. Parathyroidectomy (PTE) reduces the risks of further deterioration in filtration function; however, in some cases, this is not achieved.
Aim. To develop a mathematical model...