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Marketing Mechanisms of Optimization of Decision-Making Regarding the Implementation of the National Oncology Program as Part of the Concept of Digital Medicine

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1100))

Abstract

Purpose: This paper is aimed at justifying the preferability of application of the marketing approach and identifying promising marketing mechanisms for optimizing decision-making regarding the implementation of the National Oncology Program in Russia as part of the concept of digital medicine.

Design/methodology/approach: The authors rely on the comparative study method which we use to compare the directive approach (that is used in present-day Russia) with the marketing (suggested) approach to optimization of decision-making regarding the implementation of the National Oncology Program as part of the concept of digital medicine. We use the opinion polling method to assess the optimality of decisions on the implementation of the National Oncology Program as part of the concept of digital medicine in present-day Russia on the basis of a directive approach.

Findings: It has been established that the directive approach used in present-day Russia actually prevents from making optimal decisions on the implementation of the National Oncology Program as part of the concept of digital medicine. The key problems of the existing approach consist in fundamental failure to achieve return on investment as well as chronic underfunding of the digital modernization of oncologic dispensaries.

Originality/value: The marketing approach coping with the deficiencies in the directive approach and making optimal decisions on the implementation of the National Oncology Program as part of the concept of digital medicine, since it fully meets the present needs of the population in this program, as well as the requirements specified to it by the society, being characterized by interactivity, flexibility and high efficiency.

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Notes

  1. 1.

    Ethical approval was obtained from the ethics committee. Members of the ethics committee are Natalya Vovchenko, Tatiana V. Epifanova and Kanikey T. Samieva. Furthermore, all participants gave their informed consent to be cited anonymously in this study before its commencement. Interview partners also gave their informed consent to be recorded and their statements be transcribed.

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Correspondence to Yuri V. Przhedetsky .

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Przhedetsky, Y.V., Przhedetskaya, N.V., Borzenko, K.V., Panasenkova, T.V. (2020). Marketing Mechanisms of Optimization of Decision-Making Regarding the Implementation of the National Oncology Program as Part of the Concept of Digital Medicine. In: Popkova, E., Sergi, B. (eds) Artificial Intelligence: Anthropogenic Nature vs. Social Origin. ISC Conference - Volgograd 2020. Advances in Intelligent Systems and Computing, vol 1100. Springer, Cham. https://doi.org/10.1007/978-3-030-39319-9_22

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