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Main arrow Archive of previous Issues arrow ¹6 2017 (58) arrow DEVELOPING INFORMATION SYSTEM OF SCIENTIFIC RESEARCH MANAGEMENT IN HEALTH SCIENTIFIC INSTITUTIONS
DEVELOPING INFORMATION SYSTEM OF SCIENTIFIC RESEARCH MANAGEMENT IN HEALTH SCIENTIFIC INSTITUTIONS Print
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.

Abstract

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.

References

  1. Gumerov O.A. Avtomatizirovannye sistemy nauchnykh issledovaniy [Automated systems of scientific researches]. Krasnoyarsk: Krasnoyarskiy Gosudarstvennyy Pedagogicheskiy Universitet, 2003, 13 p. (In Russian).
  2. Gusev A.F., Bedoreva I.Yu., Khafizova E.R. Razrabotka sistemy protsessnogo upravleniya provedeniem nauchnykh issledovaniy v meditsinskom nauchno-issledovatel'skom uchrezhdenii [Development of the process-based management system for scientific researches in a health research institution]. Khirurgiya pozvonochnika 2010; (4): 90-97. (In Russian).
  3. Klimenko H.S., Lebedev G.S. Pervoocherednye proekty razvitiya rossiyskogo interneta v zdravookhranenii [Priority projects for the development of Russian internet in health care]. Sotsial'nye aspekty zdorov'ya naseleniya [serial online] 2016 [cited 2017 Oct 19]; 5 (51). Available from: http://vestnik.mednet.ru/content/view/780/30/lang,ru/ (In Russian).
  4. O Perechne programm fundamental'nykh issledovaniy RAN po prioritetnym napravleniyam, opredelyaemym RAN, na 2017 god [On the List of programs of fundamental studies in priority areas defined by the RAS for 2017]. Postanovlenie Prezidiuma Rossiyskoy akademii nauk (RAN) ot 20.12.2016 g. ¹227 (Prilozhenie 1). [Online] 2016 [cited 2017 Oct 19]. Available from: http://www.ras.ru/presidium/documents/directions.aspx?ID=4d340b45-4e05-4387-ae17-ca2a217b2a41 (In Russian).
  5. Ob utverzhdenii Strategii razvitiya meditsinskoy nauki v Rossiyskoy Federatsii na period do 2025 goda [On approving the Strategy for developing medical science in the Russian Federation for the period up to 2025]. Rasporyazhenie pravitel'stva Rossiyskoy Federatsii ot 28.12.2012 g. ¹2580-r. [Online]. 2012 [cited 2017 Oct 16]. Available from: http://archive.government.ru/special/gov/results/22272/ (In Russian).
  6. Ovcharov O.A. Aktual'nye problemy sovremennykh nauchnykh issledovaniy: metodologiya, ekonomika, statistika: sbornik statey [Actual problems of modern scientific research: methodology, economics, and statistics. Collection of articles]. Moscow: Direct-Media; 2013. 143 p. (In Russian).
  7. Starodubov V.I., Perkhov V.I., Nefedova E.V. Anatomiya novoy programmy fundamental'nykh nauchnykh issledovaniy [Anatomy of a new program for fundamental scientific research]. Ekonomika nauki 2016; (1): 14-21. (In Russian).
  8. Syuntyurenko O.V., Gilyarevskiy R.S. Ispol'zovanie metodov naukometrii i sopostavitel'nogo analiza dannykh dlya upravleniya nauchnymi issledovaniyami po tematicheskim napravleniyam [Application of scientometrics and comparative data analysis methods to scientific research management in thematic areas]. Nauchno-tekhnicheskaya informatsiya. Seriya 2: Informatsionnye protsessy i sistemy 2016; (12): 3-10.(In Russian).
  9. Fomichev N.I. Avtomatizirovannye sistemy nauchnykh issledovaniy [Automated systems of scientific researches]. Yaroslavl': Yaroslavskiy gosudarstvennyy universitet; 2001. 112 p. (In Russian).
  10. Kholmatova K.K., Grzhibovskiy A.M. Primenenie issledovaniy «sluchay-kontrol'» v meditsine i obshchestvennom zdravookhranenii [Case-control studies in medicine and public health]. Ekologiya cheloveka 2016; (8): 53-60. (In Russian).
  11. Kholmatova K.K., Khar'kova O.A., Grzhibovskiy A.M. Klassifikatsiya nauchnykh issledovaniy v zdravookhranenii [Classification of scientific researches in health care]. Ekologiya cheloveka 2016; (1): 57-64. (In Russian).
  12. Sharabchiev Yu.T., Dudina T.V. Metodologiya ekspertizy planiruemykh i zavershennykh nauchno-issledovatel'skikh razrabotok [Methodology for inspection of planned and completed research projects]. Meditsinskie novosti 2010; (5-6): 18-27. (In Russian).

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