scholarly journals Promotion of innovative medical institutions in the era of globalization and economic knowledge

2020 ◽  
Vol 74 ◽  
pp. 01023
Author(s):  
Natalia Pashkus ◽  
Nadegda Starobinskaya ◽  
Petr Shvetc
Keyword(s):  
Global Market ◽  
Medical Services ◽  
Analysis Tool ◽  
Economic Knowledge ◽  
Global Knowledge ◽  
Medical Institutions ◽  
Regional Medical ◽  
Innovative Potential ◽  
Effective Development ◽  
High Level

In the context of globalization and economic knowledge, the sector of innovative medical services is becoming one of the determining factors in ensuring the high innovative potential of the country, ensuring the health and high quality of life of the population and creating conditions for a powerful spurt of economic growth. Therefore, the purpose of this article is to identify mechanisms for the effective development of regional medical clusters. Countries that are able to provide innovative medical services at a high level have global appeal. At the same time, innovative medical institutions, possessing unique technologies and knowledge in the field of treatment and provision of medical services, do not always have experience and knowledge in the field of promotion, especially in the global market. The proposed analysis tool will allow identifying characteristic intervals for institutions of different types of changes in the important characteristics of their innovative potential and assess their position in the global market for medical services. The application of this procedure will allow to assess the level of competitiveness of innovative medical institutions in the global knowledge economy and highlight for them effective tools for strategic development.

scholarly journals Supply-Demand Matching of Medical Services in Haikou Under the Background of Hierarchical Diagnosis and Treatment - Based on Didi Travel Data

2021 ◽  
Author(s):  
Haiyan Shao ◽  
Cheng Jin ◽  
Jing Xu ◽  
Yexi Zhong ◽  
Bing Xu
Keyword(s):  
Medical Treatment ◽  
Supply And Demand ◽  
Diagnosis And Treatment ◽  
Medical Services ◽  
Density Data ◽  
Demand Pattern ◽  
Medical Institutions ◽  
Accessibility Pattern ◽  
High Level ◽  
Different Levels

Abstract Background Implementation of the Healthy China Strategy and the hierarchical diagnosis and treatment system has injected new vitality into medical services. Given the insufficient supply of medical services and increasing demand for medical treatment, exploring the supply-demand pattern of medical services has become an urgent theoretical and practical problem to be solved. The equity of healthcare facilities has received widespread attention, but due to limited data, there is little research on the supply-demand pattern of medical services. This study focuses on evaluating the supply-demand matching pattern of medical services at different levels in Haikou City with big geographic data and promoting the realization of a balance between medical supply and demand. Methods This study utilizes spatial data of medical institutions, didi travel data, and population density data. Firstly, use the two-step floating catchment area method and GIS spatial analysis to explore characteristics of the supply-demand patterns of medical services at different levels in Haikou. Secondly, based on didi travel data, mine residents' demand for medical treatment. Then combined with population density data, divide supply-demand matching of medical institutions into four types. Finally, propose optimization strategies for the problems. Results The accessibility pattern of high-level medical institutions in Haikou presents high in the north and low in the south. The accessibility pattern of low-level medical institutions is the opposite. High-level medical institutions have a strong need for medical treatment, which is less hampered by distance. The healthcare demand of low-level medical institutions is small, and they mainly are medium- and short-distance medical travel. The types of medical services at different levels are mainly "low supply - low demand" and "high supply - low demand" types. Conclusions Medical services at different levels in Haikou are mainly in supply-demand imbalance. Therefore, we put forward optimization strategies to promote the equity of primary medical services, such as propelling the establishment and improvement of the hierarchical diagnosis and treatment system, building a new model of medical and health service supply, and strengthening balanced coverage of primary medical institutions. The mining of big geographic data is beneficial to alleviate the contradiction between medical supply and demand, although the data and methods need to be improved.

Determinants of Abuse of the Bodies of the Dead

2019 ◽  
pp. 71-77
Author(s):  
Margarita Khomyakova
Keyword(s):  
Low Income ◽  
Criminal Code ◽  
Value Judgments ◽  
Legal Norms ◽  
Low Level ◽  
Medical Institutions ◽  
Specific Object ◽  
The Subject ◽  
The Dead ◽  
High Level

The author analyzes definitions of the concepts of determinants of crime given by various scientists and offers her definition. In this study, determinants of crime are understood as a set of its causes, the circumstances that contribute committing them, as well as the dynamics of crime. It is noted that the Russian legislator in Article 244 of the Criminal Code defines the object of this criminal assault as public morality. Despite the use of evaluative concepts both in the disposition of this norm and in determining the specific object of a given crime, the position of criminologists is unequivocal: crimes of this kind are immoral and are in irreconcilable conflict with generally accepted moral and legal norms. In the paper, some views are considered with regard to making value judgments which could hardly apply to legal norms. According to the author, the reasons for abuse of the bodies of the dead include economic problems of the subject of a crime, a low level of culture and legal awareness; this list is not exhaustive. The main circumstances that contribute committing abuse of the bodies of the dead and their burial places are the following: low income and unemployment, low level of criminological prevention, poor maintenance and protection of medical institutions and cemeteries due to underperformance of state and municipal bodies. The list of circumstances is also open-ended. Due to some factors, including a high level of latency, it is not possible to reflect the dynamics of such crimes objectively. At the same time, identification of the determinants of abuse of the bodies of the dead will reduce the number of such crimes.

scholarly journals Application of an Artificial Neural Network to Automate the Measurement of Kinematic Characteristics of Punches in Boxing

2021 ◽  
Vol 11 (3) ◽  
pp. 1223
Author(s):  
Ilshat Khasanshin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Kinematic Parameters ◽  
Constant Control ◽  
Measurement Units ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Effective Development ◽  
High Level ◽  
Different Levels

This work aimed to study the automation of measuring the speed of punches of boxers during shadow boxing using inertial measurement units (IMUs) based on an artificial neural network (ANN). In boxing, for the effective development of an athlete, constant control of the punch speed is required. However, even when using modern means of measuring kinematic parameters, it is necessary to record the circumstances under which the punch was performed: The type of punch (jab, cross, hook, or uppercut) and the type of activity (shadow boxing, single punch, or series of punches). Therefore, to eliminate errors and accelerate the process, that is, automate measurements, the use of an ANN in the form of a multilayer perceptron (MLP) is proposed. During the experiments, IMUs were installed on the boxers’ wrists. The input parameters of the ANN were the absolute acceleration and angular velocity. The experiment was conducted for three groups of boxers with different levels of training. The developed model showed a high level of punch recognition for all groups, and it can be concluded that the use of the ANN significantly accelerates the collection of data on the kinetic characteristics of boxers’ punches and allows this process to be automated.

Clusterization of post-communist countries of the Central and Eastern Europe by income inequality level

2021 ◽  
Vol 72 (5) ◽  
pp. 41-52
Author(s):  
T. Cherkashyna
Keyword(s):  
Income Inequality ◽  
Eastern Europe ◽  
Central And Eastern Europe ◽  
National Income ◽  
Analysis Tool ◽  
Tax Rate ◽  
Low Level ◽  
The Third ◽  
High Level ◽  
Communist Countries

Using level of income inequality, the clustering of post-communist countries of the Central and Eastern Europe is carried out by the following indicators: Gini index, share in the national income of the second quintile group, share in the national income of the third quintile group, share in the national income of the fourth quintile group, share in the national income of 10% of the poorest, share in the national income of 20% of the richest.,Сluster analysis (k-means method), in the programming environment Statistica is used as analysis tool and five clusters are obtained. The first cluster includes 8 countries (Albania, Hungary, Poland, Bosnia and Herzegovina, Czech Republic, Сroatia, Russia, Slovakia) is characterized by sufficiently low level of income inequality and can be explained by flow of foreign investment and business transnationalization contributing to the increase of incomes of the main population groups of these countries. The second cluster includes 4 countries (Belarus, Slovenia, Ukraine, Moldova) and is characterized by comparatively low level of income inequality, but high level of property inequality due to heredity, аccumulated wealth та concentration of physical and financial capital by so called «oligarchic clans». The third cluster includes 5 countries (Bulgaria, Montenegro, Macedonia, Romania, Serbia) and is characterized by medium level of income inequality. The fourth and fifth clusters include so called «Baltic tigers» (Latvia, Lihuania, Estonia) and is characterized by high level of income inequality as the result of the occurrence of «excess profits» of financial assets owners. In order to decrease the income inequality in the investigated countries, the following measures are proposed: for the countries of the first cluster to accelerate deconcentration of capital ownership by «spaying» (redemption) of privatized enterprises shares by all categories on preferential terms (so called «ESOP programs»); for the countries of the second cluster to implement progressive tax scale where the tax rate for different groups of population vary depending on the income received and citizens with the lowest incomes (at the level of subsistence minimum or minimum wage) do not pay individual taxes at all; for the countries of the third cluster to cope with «shadow» economy and informal unemployment; for the counties of the fourth and fifth clusters to decrease tax burden on private entrepreneurs and thus stimulate self-employment.

Pharmaceutical Concern TEVA

2011 ◽  
pp. 93-98
Author(s):  
B. Dubson
Keyword(s):  
Elderly People ◽  
Global Market ◽  
Living Standards ◽  
New Drugs ◽  
Global Trends ◽  
Pharmaceutical Firms ◽  
Pharmaceutical Group ◽  
Medical Institutions ◽  
Insurance Funds

The author explores the case of the Israeli pharmaceutical group Teva. It is noted that in modern conditions there are favorable factors for an entry into the global market of the small-and medium-sized pharmaceutical firms producing equivalents of patented drugs. The current global trends such as the growth of living standards increase the number of elderly people, who are the main consumers of medications, and the emergence of new drugs to fight the previously incurable diseases significantly increase the demand for medicines. The total costs of purchasing the drugs are becoming increasingly onerous for patients, for all kinds of involved medical institutions (hospitals, medical offices, insurance funds, etc.) and for the governments. Therefore, there is a growing interest in replacing expensive original drugs by the same quality, but cheaper generics.

scholarly journals Innovative potential of Akmola region: problems and prospects of effective development

2020 ◽  
Vol 4 (78) ◽  
pp. 137-142
Author(s):  
G. A. AKZHANOVA ◽  
◽  
G. A. SHMARLOUSKAYA ◽  
Keyword(s):  
Innovation Activity ◽  
Gross Regional Product ◽  
Regional Innovation ◽  
Innovation Potential ◽  
Current State ◽  
Northern Regions ◽  
Innovative Potential ◽  
The Republic ◽  
Effective Development ◽  
Regional Product

The article considers the terms “innovation potential”, “regional innovation potential”, and the state of innovation potential. The purpose of this article is to determine the current state and prospects for the development of the innovative potential of the Akmola region. The research methodology consists in systematization of innovative indicators of the region by comparison and economic and statistical groupings. The analysis of the formation of the innovative potential of the region on the example of the Northern regions of the Republic of Kazakhstan is carried out. In particular, the dynamics of the gross regional product and innovation activity in the Akmola region is presented.

scholarly journals An Optimization Algorithm for Computer-Aided Diagnosis of Breast Cancer Based on Support Vector Machine

2021 ◽  
Vol 9 ◽  
Author(s):  
Yifeng Dou ◽  
Wentao Meng
Keyword(s):  
Breast Cancer ◽  
Support Vector Machine ◽  
Optimization Algorithm ◽  
Breast Cancer Diagnosis ◽  
Support Vector ◽  
Medical Institutions ◽  
High Level ◽  
Aided Diagnosis ◽  
Very High ◽  
Important Branch

As one of the most vulnerable cancers of women, the incidence rate of breast cancer in China is increasing at an annual rate of 3%, and the incidence is younger. Therefore, it is necessary to conduct research on the risk of breast cancer, including the cause of disease and the prediction of breast cancer risk based on historical data. Data based statistical learning is an important branch of modern computational intelligence technology. Using machine learning method to predict and judge unknown data provides a new idea for breast cancer diagnosis. In this paper, an improved optimization algorithm (GSP_SVM) is proposed by combining genetic algorithm, particle swarm optimization and simulated annealing with support vector machine algorithm. The results show that the classification accuracy, MCC, AUC and other indicators have reached a very high level. By comparing with other optimization algorithms, it can be seen that this method can provide effective support for decision-making of breast cancer auxiliary diagnosis, thus significantly improving the diagnosis efficiency of medical institutions. Finally, this paper also preliminarily explores the effect of applying this algorithm in detecting and classifying breast cancer in different periods, and discusses the application of this algorithm to multiple classifications by comparing it with other algorithms.

An effective strategy for the development of paid medical services in a medical organization

2021 ◽  
Vol 89 (3) ◽  
pp. 11-15
Author(s):  
Yu.V. Sulkina ◽  
◽  
N.V. Bolonyaeva ◽  
E.K. Gaponenko ◽  
E.V. Denisova ◽  
...  
Keyword(s):  
Health Care ◽  
Medical Services ◽  
Effective Strategy ◽  
Additional Source ◽  
Medical Organization ◽  
Additional Material ◽  
Health Care Institutions ◽  
Medical Institutions

The relevance of the development of paid services in health care institutions is mainly due to the interest of managers in the development of medical institutions, since the funds received are both a source of additional material incentives for employees and an additional source of equipment for the institution

WORKFORCE RETENTION STRATEGIES AND CORPORATE DEVELOPMENT: AN EMPIRICAL STUDY

2018 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Matthew Adekunle ABIORO ◽  
Dauda Adewole OLADEJO ◽  
Faderera Oluwatoyin ASHOGBON
Keyword(s):  
Statistical Technique ◽  
Global Market ◽  
Primary Data ◽  
Staff Retention ◽  
Retention Strategies ◽  
Corporate Development ◽  
Workforce Retention ◽  
High Level ◽  
The Relationship ◽  
Retention Practices

Over the years, managers are being faced with the challenges of how to handle issues relating to high rates of employees’ turnover due to increasing competition in the global market. Not only that, retention also affects the performance and productivity of any organization if not managed adequately. It is against this backdrop that this study examined the influence of workforce retention strategies on corporate development in Nigeria. The study used primary data collected through a structured questionnaire. Descriptive statistical techniques were used to determine the frequencies and percentages of demographic reports of the respondents, while inferential statistical technique of product moment correlation coefficient (PPMC) was used to analyze the relationship between workforce retention strategies and corporate development. Findings however revealed that there is a significant influence at p<0.05 of workforce retention on corporate development. The result indicated a positive relationship between staff retention (r=0.553) on corporate development in Nigeria. The study confirmed a number of conclusions and recommendations. Aspect revealed which most likely to influence job satisfaction and bring about workforce retentions are; appropriate compensation and reward system, high level of communication, training and development and ultimately good work environment. Finally, for a sustainable corporate development, management should work towards ensuring a proper alignment of different retention practices with staffs’ value and needs. Also, all staffs at different cadres, should be treated with utmost fairness and equity.

Comparative analysis of patient satisfaction with COVID-19 medical care provided in telemedicine center

2021 ◽  
pp. 73-77
Author(s):  
A. V. Starshinin ◽  
A. A. Tyazhelnikov ◽  
A. V. Pogonin ◽  
E. V. Kostenko
Keyword(s):  
Patient Satisfaction ◽  
Comparative Analysis ◽  
Statistical Analysis ◽  
Medical Care ◽  
Dynamic Assessment ◽  
Medical Services ◽  
Level Of Satisfaction ◽  
Time Periods ◽  
High Level

The article presents the results of a dynamic analysis of the satisfaction of patients diagnosed with CAVID‑19 with the quality of medical services provided remotely at the telemedicine centre in Moscow in 2020.Purpose of research. Conduct a dynamic assessment of patient satisfaction with the quality of remote medical services provided in different time periods.Material and methods. The results of an anonymous survey of 424 patients on the quality of remote medical services were dynamically evaluated. The first group (138) received medical care from 01.04 to 30.04, the second one (286) – from 01.06 to 30.06 of 2020 after the implementation of measures to improve them. Statistical analysis was performed using IBM SPSS Statistics 20.0.Results. When analysing the results, a high level of patient satisfaction was revealed, but there was a significant (p < 0.05) difference in the level of satisfaction between the groups. The factors of connection between telemedicine services and patient satisfaction were identified, which served as the basis for organizational measures.Conclusion. Providing medical services using telemedicine technologies can be considered as one of the most effective ways to provide medical care.

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