Методологические основы построения интеллектуальной системы управления инновационным развитием Российского медико-производственного комплекса
Prospects of modernization and innovative development of the Russian health care on the basis of realization of the opportunities given by information society are discussed. The essence and genesis of information-communication medical-industrial space (ICMIS) are studied. The problem of creation of the information-analytical internet portal of the Russian medical-industrial complex (MIC) is formulated. The methodology of creation of an intellectual control system of innovative development of MIC on the basis of the MIC internet portal is stated.
The concept of an information-analytical Internet-portal of the Russian medical industrial complex as the basis of the intellectual control system of innovative development of the MIC is stated.
In the article the main tendencies and problems of development of the Russian pharmaceutical industry and the pharmaceutical market are considered. It is shown that low competitiveness of pharmaceutical industry and a high share of an import in the domestic pharmaceutical market are in many respects caused by low innovative activity of the Russian pharmaceutical companies. The contents «Strategy of development of pharmaceutical industry of the Russian Federation for the period till 2020» in interrelation with a complex of system problems of the Russian pharmaceutical industry and prospects of realization of innovative option of its modernization is considered and analysed.
Article gives a characteristics of workforce and examines principals and approaches to development of it s innovation in modern conditions.
The possibilities and prospects of applying self-organization approach for solving the problem of forecasting in an intelligent management system of innovative development of the Russian MIC in the information society are discussed. MIC information and analytical website could be the basis for the creation of the intelligent management system of innovative development of MIC. Members of a valeological Internet community forming around MIC website will act as experts in the intelligent management system of innovative development of MIC.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.