Articles

It is very important to balance the processes of creating the simplest and most effective predictive models in medicine. The predictors in the model determine its quality and practical relevance but selecting them is not always easy. The aim of the study is to compare different methods of prediction selection to create medical prognostic models.
Methods. We compare simple methods, such as correlation, predictor filtering based on basic statistics, and Hosmer-Lemeshow univariate analysis, with more...

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 success and wide-range applications of artificial intelligence (AI) technologies and, in particular, deep learning neural networks methods have led us to a clear understanding of two main problems: the problem of errors (the reliability problem) and the problem of explicitly explaining the decisions made by AI (the explanability problem). These problems are closely related: unexplained AI errors can happen again and again. This is completely unacceptable from the pers...

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...

Currently, there are no unified methodological approaches to diagnose certain diseases, syndromes, symptoms, where distant diagnostics and telemedicine-based treatment prescription are legal and feasible. There are limited and empirically generated lists of pathological conditions, accounting for possible risks. The development of regulatory and legal support for telemedicine-based medical care should be based on a scientific approach, providing for safety and quality assurance. Objective: to de...

Background. Considering the growing interest of researchers and clinical specialists in algorithms for processing medical data, the prospects for the applied application of such approaches have significantly increased, primarily, involving the use of deep neural networks in the tasks of detecting pathological areas. However, the use of such approaches is associated with a low level of localization accuracy, insufficient to translate the developments into the field of assistive systems for making...

The article proposes technique and results for pre-project research and design of automated information systems in relation to business process management systems of medical organizations on the example of monitoring the implementation of regulations at the departments of nephrology and hemodialysis. When developing the system, an original method of system analysis and modeling of business processes was used based on the experience of the divisions of a private network medical company working in...

The article considers the provisions of the draft convention on improving supranational legal regulation in the Eurasian Economic Union (EEU) in the field of healthcare in the context of the development of innovative digital technologies. Specific proposals on the content of the project’s draft were formed, as well as individual proposals were identified on separate convention sections.

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 ...

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...

Background. Remote follow-up of patients with chronic non-communicable diseases is an increasingly popular and one of the most fast-growing telemedicine branches, mainly due to COVID-19 pandemic. There are certain premises for a wider and more routine use of telemedicine, one of them being coverage of telemedical consultations by the government insurance program. Aim. To test a remote self-control program for patients with chronic non-infectious diseases who are followed-up by the doctors of the...

Here we present the key aspects of the fully automated APACHE II scale calculation development. We reviewed implementation opportunities for modern technological solutions in intensive care units. Successful experience of utilizing the clinical decision support system „PHILIPS Digital Resuscitation” for analysis, prognosis and patient data management is described in details. The digital algorithm for automated calculation of the clinical scale used in anesthesiology and intensive care department...

In this study we evaluated operability of a multicomponent system consisting of ECG recorders (made by different manufacturers), signal conversion drivers (matching layers) provided by ECG equipment vendors according to a single technical task, an ECG signal processing and visualization program. Such system registers and processes ECG signal by means of the software unit integrated into the regional medical information system (RMIS). System performance evaluation was carr...

Here we describe the possibilities of joint use of agent-based modeling and location intelligence based on geoinformation technologies for solving epidemiological problems. This approach has an important advantage allowing close to real-life epidemic progression visualization (hepatitis A) in the “digital twin” of the city. The instrument we developed could be used for both research and practical purposes, as well as for managerial decision-making.

The article discusses implementation of electronic medical records in the Eurasian Economic Union (EEU) countries. Several common and country-specific barriers have been detected. In order to harmonize the legislation of the EEU countries, the authors propose a supranational legal regulation of relations in the form of an agreement between the EEU countries. This could will be the starting point for the further development of supranational relations

This mini-review covers the current situation in digital transformation, one of the leading trends in the evolution of health systems. The tasks of providing convenient access to health data and continuity of care are being solved successfully in many countries, including Russia. However, there are gaps in the areas of prevention, wellness, and patient-centeredness. These aspects were declared in several national programs, but still remain to be implemented due to the systemic limitations of the...

The article is a market survey of healthcare institutions’ automatization over a period from October 2020 to September 2021, using the Unified Information System for procurements as a source for the survey data. Primary market tendencies were evaluated, leaders were revealed, and regularities were considered. Comparison to the situation of 2013–2015 has also been completed.

For the development of healthcare information systems, an effective system of interaction between means of storing and processing structured and unstructured data is important. The paper describes the ways of reconciling the object and relational approaches to data processing between the application and the DBMS as suggested by the NORM methodology. It also describes the use of tabular modules for constructing data warehouses through the example of the new version of the Interin IPS platform for...

Тhe Article is devoted to analyze the statutory acts on hospital medical commission and information support it in HIS.