Articles

The introduction of information technology is currently the main direction of the healthcare progress. Existing data published by domestic and foreign authors demonstrating the clinical and economic benefits of telemedical and information technologies, doesn’t cover regional practices. This study focused on broadening the knowledge about telemedicine application in the regional health care. The aim is to assess the directions of development and practice of application of telemedicine and informa...

Aim: to evaluate the effectiveness of remote monitoring of patients with spine diseases in the postoperative period using a specialized questionnaire called «Medsenger».
Methods and Materials: 246 patients with spinal disorders were observed at the NMCPF during 2021-2022. Several clinical parameters were assessed and recorded during remote monitoring: severity of pain syndrome, temperature, increase/decrease of muscle strength, sensory disturbances, urinary tract dysfunction and general condition....

Background. Development of medical competences is the aim of medical education. Technology of virtual patients has become the main learning tool for these skills as a safe (for real patient), standard digital model. Remote access allows expanding the use, and learning even in case of face-to-face contact limitations.
Aim. Public presentation of the development dynamics and practical results of knowledge engineering during software creation for the formation and assessment of medical decision-making...

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...

A fundamental increase in the effectiveness of measures aimed at overcoming the problem of chronic noncommunicable diseases (CNCDs) can only be achieved through the digital transformation of healthcare. An Integrative Digital Strategy to Combat NCDs has been developed, which not only solves the problems of developing the healthcare system, but also stimulates the development of the national economy in the field of high technologies in full accordance with the Ashgabat Declaration on the Preventi...

The article describes the landscape of innovations in the field of medicine in general and start-ups of digital solutions in particular, presents the experience of the Pirogov National Medical and Surgical Center in organization and performing of acceleration program for medical start-ups, proposals are formulated for creating effective translating mechanisms of innovative technologies and products into clinical practice.

Aim. To optimize the process of receiving and processing federal statistical observation forms.
Materials and methods. The MEDSTAT-WEB software, previously used by the Russian Research Institute of Health, was used as the basis. Innovative elements of third-party software were integrated into the process of providing primary statistical data.
Results. A functional has been developed that provides prompt online interaction between specialists of the Subjects of the Russian Federation and specialized...

Background. Assessment of medical services quality from the patient’s point of view is an integral part of the management process of medical organizations within the widely adapted concept of patient-oriented healthcare.
Aim. To evaluate the effectiveness of using an information and analytical system for collecting and analyzing the results of patient satisfaction surveys on medical care provided in a round-the-clock hospital
Methods. Patient questionnaires were the primary research instrument....

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...

The article presents originally developed intelligent decision support tools designed for precancerous lesions and tumors of the oral mucosa diagnostics.
Background. There is well recognized need for better primary health care in patients with suspected maxillofacial tumors.
Aim: develop intelligent decision support tools for tumors of the oral mucosa diagnostics.
Methods. Developed method was based on generalization of the practicing doctors experience. Diagnostic parameters of the disease were...

Background. The development and implementation of medical information systems make it possible to simplify and automate many processes in medical organizations. At the same time, the amount of data on patients’ health is constantly accumulating which allows solving many problems related to the prediction and diagnosis of diseases.
Aim. To study approaches to processing of Russian unstructured medical texts and to predicting certain groups of diseases based on machine learning methods.
Материалы...

Background. Strategic management of healthcare which, among all, includes modern digital technologies, has increasing importance in the light of non-communicable diseases burden.
Aim. To develop an tool which evaluates and predicts the digital maturity of healthcare, accounting for the strategic importance of combating chronic non-communicable diseases
Materials and methods. We performed an analytical study, making a systematic review of international experience, analysis and adaptation of the...

Aim: to develop and test a methodology for assessing the maturity of healthcare software based on artificial intelligence (AI).
Materials and methods. The methodology for developing a maturity matrix for AI-based healthcare software is based on published data and on an analysis of our own practical experience obtained during the «Experiment on the use of innovative technologies in the field of computer vision for the analysis of medical images and further application in the Moscow healthcare system...

Here we describe building a control impact intended to medically suppress tumor growth. The synthesis of control has been carried out using the method of linearization of a nonlinear system with state feedback. As a result of the study, a control law was obtained that provides the system with local stability, which translates into cessation of tumor growth in physical sense. The adequacy of the tumor growth model is achieved by constructing it using a self-organization algorithm with trend reser...

Causative relationships of microbiota with the human’s health and diseases are one of the most challenging issues in modern microbiology. Progress in this field could provide new tools for diagnosis, prophylaxis, and treatment. A new automated approach is proposed, as an addition to the methods of multidimensional statistical analysis. This approach is based on a planar projection of multidimensional analytical data and is distinguished by technological simplicity and clarity of the process of operational...

New measures to decrease the burden from cardiovascular morbidity are of great socio-economic importance. The aim of the study was to create artificial intelligence technology incorporating various methods and approaches for presenting and using knowledge to assess and predict individual risks of developing cardiovascular events. The following risk presenting models were used: scoring system, multivariate Weibull and logistic regression, artificial neural networks; an ontological approach for ex...

Information technologies in modern continuous professional education (CPE) of medical workers are playing an increasingly active role, becoming the basis for the training organization. Aiming to substantiate the strategy for the further development of CPE, we conducted a questionnaire survey of doctors (n=211) immersed in new forms of training using distance learning technologies. Furthermore, regulatory documents were provided that should become a basis for creating conditions f...

The problem of early and timely accurate diagnosis of rare hereditary diseases is global. The use of physician-assisted computer systems could solve it. There are various foreign medical decision support systems. However, there are currently no domestic functioning systems to resolve these issues.
The aim of this study is to improve the timeliness and accuracy of making a correct diagnosis in patients with signs of hereditary lysosomal storage diseases using an intelligent computer decision support...