Articles filtered by author Vladzimirsky A.V..
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MD&IT №2 2023
Background. Presently, in diagnostic radiology, it is possible to use clinical decision support systems (CDSS) based on artificial intelligence technologies. These systems are integrated into medical information systems and/or federal health care information systems of the Russian Federation. The availability of a quality control system for diagnostic radiology enables impact evaluation of AI-based CDSS in the medical care. Moreover, the challenge of defect prevention in radiology with such CDSS...
MD&IT №4 2022
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...
MD&IT №4 2022
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 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...
MD&IT №4 2022
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...
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...
MD&IT №3 2022
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...
MD&IT №2 2022
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...
MD&IT №3 2021
The dynamic development of diagnostic radiology requires updating its approaches to resource management, as well as revising outdated time standards. The purpose of the study is to determine a turnaround time for reporting results of radiological examinations in primary health care for the formation of time standards. Material and Methods. The analytical (elementwise) method of labour rationing was used. The research included image interpretation and writing CT scan reports, image interp...
MD&IT №2 2021
Artificial intelligence (AI) technologies are considered to be one of the most promising areas of development in various fields of human activity. AI-based systems are used not only in scientific research, but are also actively used in practice. However, the practical implementation of AI technologies has revealed a number of problems associated with the imperfection of the current legislative framework. For this purpose, in July 2019, by order of The Federal Agency for Technical Regulat...
MD&IT №1 2021
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...