Articles from rubric: «Automated analytics in healthcare»
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2020 № 2 Artificial intelligence technologies in medicine and healthcare: Russia’s position on the global patent and publication landscape
An overview of public policy measures aimed at the development of artificial intelligence (AI) technologies in the world and in Russia is presented. In order to evaluate the competitiveness of domestic developments created for the use of AI technologies in medicine and healthcare, a scientometric and patent analysis of the direction for the period 2010–2019 was performed. Based on the analysis of research fronts using the Essential science indicators methodology, the most promising research strategies have been identified. It is shown that on the global publishing landscape, Russia occupies the 27th position in the world by the number of publications devoted to the use of AI in healthcare: Russian researchers account for less than 1% of publications indexed in the Web of science. To enter the top 5 countries in terms of publication activity in this thematic cluster, Russia needs to increase the number of publications by more than 6 times. Of the 16 companies in whose publications the participation of Russian authors are indicated, 13 are foreign. In General, only 14% of publications in the thematic category “Computer science, artificial intelligence” were made in collaboration with the industrial sector. In the landscape formed by patent documents that protect technical solutions in the field of AI in medicine, Russia takes positions that do not confirm its intention to fight for promising markets for goods and services created on the basis of these technologies. In the field of medical AI developments, the number of Russian patents issued to non-residents of the country significantly exceeds the number of holders of domestic patents. Only 12 patents of Russian developers оn AI technologies for healthcare issued by foreign patent offices were found.
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2016 № 5 The value of program complex for the certification of vascular centers and improving of the system of health care for patients with diseases of the circulatory system in the Moscow region.
In order to form an optimal organization of medical care management for patients with myocardial infarction and acute accidents ofcerebrovascular system within the regional segment of the unified state health information system, a program complex (PC) was created which allow for the certification of vascular centers (VC), primary vascular branches (PVB) of medical organizations of the Moscow region. PC allows to maintain a register of patients, form the optimal routing of patients for specialized treatment in VC and PVB of medical organizations, to monitor online the quality of the treatment, to check the compliance with the orders, requirements, standards and clinical guidelines, as well as to carry out planningof requirements and centralized procurement of supplies and medical equipment for VC and PVB
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2016 № 5 Analytical processing of databases of the implemented information systems on the example of risk factors of socially dangerous actions of patients with organic damage of a brain.
In article the possibility of use of the existing medical information systems introduced on the basis of medical institutions of the Tyumen region in studying of problems of public health is defined. On the basis of databases of the automated information system “Forensic-psychiatric Examination” the conclusions of out-patient forensic-psychiatric examination of the Tyumen region for 2005–2014 are analysed. The risk factors leading patients with organic damage of a brain to commission of socially dangerous actions are revealed. Are carried to such factors: a male, age till 30 years, the diagnosis “intellectual backwardness”. It is statistically proved that persons with this set of factors commit crimes under 159 and 161 articles of the Criminal code of the Russian Federation. The majority subexpert admit responsible a consequence. In article possible measures for primary prevention of socially dangerous actions of patients with organic damage of a brain are proposed.
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2016 № 5 Ranking definition method of health insurance companies based on hierarchical classification.
The official site of Federal compulsory medical insurance fund presents 21 activity indicators for the 59 health insurance organizations (HIOs) for 2015. Each indicator represents an activity efficiency criteria of HIO in the certain area as following: its larger or smaller value defines whether the company activity is successful or not. The HIO rating is defined per each of these criteria. Undoubtedly, HIO ranking definition problem on set of all the considered criteria is becoming particularly urgent. The purpose of this work is to apply the metrical approach for HIO activity efficiency assessment, based on the hierarchical classification method that assumes the distance calculation among HIOs as among the points of multidimensional space in the coordinate system corresponding to the criteria of their efficiency. The concept of reference organization that accumulates the best value of all of the HIO criteria is introduced in this paper. The ratings of insurance companies are established in accordance with the distance to the reference organization by the principle – the smaller the distance, the more efficient the company is and the higher its rating is (the place in the HIO list). The method is implemented in the environment of the STATISTICA statistical package. HIO ratings, defined by the proposed method can be used to identify promising and unpromising HIOs in order to plan their upcoming development or structural changes, they can also act as the specific navigator when choosing the health insurance company
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2016 № 5 Automated control system of medical organization resources.
The current state of health informatics development in the Russian Federation puts in a number of urgent task of modernizing the information systems of health care organizations. In this paper comprehensively deals with the modernization and development of e-health medical organization. It focuses on the automated management system of medical organizations. A mathematical model for calculating the effectiveness is represented. The proposed approach can be used by leaders of health care organizations, heads of departments of information to build a system of regulations that organize the work on the modernization and development of medical information systems.