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Tuesday, 26 December 2017

DOI: 10.21045/2071-5021-2017-58-6-11

1,2Lebedev G.S., 2Krylov O.B., 2Leljakov A.I., 2Tkachenko V.V.
1Sechenov First Moscow State Medical University, Moscow
2Federal Research Institute for Health Organization and Informatics, Moscow

Contacts: Krylov Oleg, e-mail: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
Information about authors:
Lebedev G.S., http://orcid.org/0000-0002-4289-2102
Krylov O.B., http://orcid.org/0000-0002-3001-1160
Acknowledgments. The study had no sponsorship.
Conflicts of interests. The authors declare no conflict of interest.


Within this article, the automated system of scientific research management means management of government contracts, management of work acceptance and evaluation as well as development, update and maintenance of information database of scientific research of the Ministry of Health of the Russian Federation.

In the context of limited resources for scientific research, development of a government assignment plan is a relevant task. Future of the Russian healthcare much depends on quality of this task execution.

To execute this task it is advisable to use known methods of scientometrics, system analysis and operational research.

Currently in Russia there are automated systems of scientific research management in operation in various areas of knowledge, however, the mentioned system is missing in the Ministry of Health of the Russian Federation. Development of the automated management system of the Ministry of Health should consider specifics of the industry requiring redesign of the known approaches.

For the first time ever this article offers a comprehensive approach to management of scientific research in the Ministry of Health that takes into account specifics of the industry, involving in particular implementation of dynamic result evaluation of the completed studies and analysis of the evaluation as a feedback on the management process.

Quality improvement of information support for decision-making is suggested by means of creation of a unified information space containing information about experts, research groups, scientific works and scientific results, which will allow to fully apply known methods of scientometrics.

Scientific research management is considered as a single business process, the result of which is scientific research results, and its administrative actions - allocation of resources for research. Based on this approach, it is possible to use cost effectiveness indicators.

At the same time to ensure quality of scientific research management it is necessary to have feedback on the process results. The article outlines stages of the process of scientific research management, basic principles of management, evaluation of scientific results and feedback.

Keywords. Scientific research; automated systems; medical information systems; scientific research management.


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