[Left ventricular dysfunction in patients following high-dose chemotherapy and autologous hematopoietic stem cell transplantation].

AIM: To evaluate the dynamics of LV global longitudinal strain (GLS) and other EchoCG parameters after high-dose chemotherapy (HDCT) and autologous hematopoietic stem cell transplantation (aHSCT). MATERIAL AND METHODS: The risk of LV dysfunction in patients after HDCT followed by aHSCT has not been sufficiently studied. This study included 74 patients with hemoblastosis aged 20 to 65 years who had undergone HDCT followed by aHSCT. All patients had a history of antitumor treatment. EchoCG with assessment of LV GLS and measurements of troponin T and N-terminal pro-brain natriuretic peptide (NT-proBNP) were performed for all patients before and after the treatment. RESULTS: A decrease in GLS by 15 % or more from the baseline was detected in 6 (8.1 %) patients. The decrease in GLS was associated with increased NT-proBNP >125 pg / ml at baseline (odds ratio, 8.667; 95 % confidence interval, 1.419-52.942; p=0.022). CONCLUSION: The decrease in LV GLS in patients after aHSCT was associated with increased NT-proBNP before the intervention.

[ASSESSMENT OF PATIENT SATISFACTION WITH THE MEDICAL ORGANIZATION AND ITS SERVICES].

The relevance of the problem under study is due to the fact that the medical organization must be aware of the target patient: to know who he is, how and why he wants to receive a particular medical service. All the information received and its analysis will allow us to develop a real scheme of mutually beneficial communication, convenient for each of the parties-the medical organization and the patient, which will allow us to reveal the weaknesses in the work and respond to them in a timely manner. The purpose of the study: to form an assessment of the patient's satisfaction with the medical organization and its services, taking into account the interest, feelings, purpose, arguments and thoughts that appear in the patient from the moment of the first contact with the clinic, with the display of the point of contact in graphic form, in order to minimize all possible obstacles in his route to receiving quality medical services and increasing the economic efficiency of the clinic.

[Recreational potential of medical tourism of Russia].

Since January 1, 2019, the Russian Federation has entered the global medical tourism market thanks to the approved federal project "Development of the export of medical services". The level of attractiveness of a country as a global destination for medical tourists is determined by a number of factors: the level of medical technology, transport accessibility, proximity to donor countries of foreign patients; the level of realization of export potential, international reputation, medical marketing; the level of healthcare organization, international staff training, etc. Among the factors determining the success of the country as the destination of medical tourism, a special place is held by the recreational complex, spa treatment. The level of development of the recreational complex within the framework of medical tourism performs several tasks at once: it provides a full cycle of medical assistance to foreign medical tourists - from outpatient admissions and in-patient treatment to rehabilitation and recovery; sanatorium-resort treatment and rehabilitation are considered not only as an integral part of the complex of medical services, but also as an independent promising direction for the export of medical services by domestic health resorts. Also, the fight against the consequences of COVID-19, when hundreds of thousands of neighboring states citizens need qualified rehabilitation, can become a driver for the development of the sanatorium-resort complex of Russia. The purpose of the study is to identify bottlenecks in the development strategy of the recreational potential of the regions of the Russian Federation and make suggestions for its improvement. The number of foreign patients who received medical care from January to May 2020 in the federal districts is 729,000. This indicator was achieved during the pandemic, and therefore does not reflect the true potential of rehabilitation as an element of the full cycle of medical care for foreign patients. The target audience for rehabilitation programs is up to 100,000 foreign patients.

[Evaluation of the export potential of the healthcare system of the Russian Federation on the example of a separate taken region].

The relevance of the research is due to the fact that the development of medical services exports in the Russian Federation is based on the eponymous Federal project «Development of medical services exports¼ of the national project «Healthcare¼. The Federal project is being implemented in the Russian Federation in the period 2019-2024 and is unique for two reasons. Firstly, the project has no analogues in the world: for the first time in one country, 71 regions were involved in a project related to the development of planned medical care for foreign citizens. Secondly, the main role in the project is assigned to medical organizations of state ownership. Due to the fact that the key outstanding issue of the project is to assess the export potential of the health care system of subjects of the Russian Federation, which is a Federal project, the goal of research to assess the export potential of the health care system of the Russian Federation (on the example of Tyumen oblast). A methodology for calculating the economic efficiency of the medical services export program in the region has been developed. As the criteria for evaluating the economic efficiency of testing the concept of developing the export of medical services in the above-mentioned regions, it is proposed to set certain parameters.

[The future of computer-aided diagnostics in chest computed tomography]. / Perspektivy ispol'zovaniia kompleksnoi komp'iuter-assistirovannoi diagnostiki v otsenke struktur grudnoi kletki.

Recently, more and more attention has been paid to the utility of artificial intelligence in medicine. Radiology differs from other medical specialties with its high digitalization, so most software developers operationalize this area of medicine. The primary condition for machine learning is met because medical diagnostic images have high reproducibility. Today, the most common anatomic area for computed tomography is the thorax, particularly with the widespread lung cancer screening programs using low-dose computed tomography. In this regard, the amount of information that needs to be processed by a radiologist is snowballing. Thus, automatic image analysis will allow more studies to be interpreted. This review is aimed at highlighting the possibilities of machine learning in the chest computed tomography.