MD&IT № 3 2024
Review of methodological approaches to assessing the quality of electronic health records management
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),...
MD&IT № 3 2024
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...
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...
MD&IT № 3 2024
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...
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...
MD&IT № 3 2024
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...
Aim: to analyze the RWD extracted...
MD&IT № 3 2024
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...
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...
MD&IT № 3 2024
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 ...
Aim. To improve the accuracy of diagnosis of CKD using data from history, clinical-instrumental, genetic ...
MD&IT № 3 2024
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...