Methodology for content analysis of the digital medicine information space

Author:

Berdutin V. A.ORCID, ,Romanova T. E.,

Abstract

In the near future, global healthcare will undergo fundamental changes associated with digital transformation of medicine, which is supported by numerous innovative technologies. Digitalization of domestic healthcare is currently a priority for its development. It requires medical professionals to have specialized knowledge and a willingness to make the most of the advances in digital medicine. Content analysis of the information space of digital medicine makes it possible to determine people's attitudes by learning the opinions of representatives of various strata of civil society, expressed in the media, and to draw a conclusion about the state of healthcare both in Russia and around the world. In this regard, the methodological support of computer-based content analysis, which must be carried out at the most modern technological level, is of particular interest. It is no coincidence that the purpose of this article is to consider key issues related to the use of innovative approaches and algorithms for assessing the information space of digital medicine.

Publisher

PANORAMA Publishing House

Subject

General Medicine,General Medicine,General Medicine,General Earth and Planetary Sciences,General Environmental Science,General Medicine,General Earth and Planetary Sciences,General Environmental Science,General Medicine,General Medicine,General Medicine,General Medicine

Reference24 articles.

1. 1. Berdutin V.A., Abaeva O.P., Romanova T.E., Romanov S.V. Primenenie iskusstvennogo intellekta v meditsine: dostizheniia i perspektivy. Obzor literatury. chast 1 [Application of artificial intelligence in medicine: achievements and prospects. Literature review. Part 1]. Sotsiologiia meditsiny [Sociology of Medicine]. 2022. Vol. 21. No. 1. P. 83-96. (In Russ.)

2. 2. Berdutin V.A., Abaeva O.P., Romanova T.E., Romanov S.V. Primenenie iskusstvennogo intellekta v meditsine: dostizheniia i perspektivy. Obzor literatury. chast 2 [Application of artificial intelligence in medicine: achievements and prospects. Literature review. Part 2]. Sotsiologiia meditsiny [Sociology of Medicine]. 2022. Vol. 21. No. 2. P. 77-83. (In Russ.)

3. 3. Taylor K., Ronte H., Hammet S. A bold future? Healthcare and life science predictions. Deloitte Centre; 2020. http://www2.deloitte.com/content/dam/Deloitte/global/Documents/ Life-Sciences-Health-Care/gxlshc-healthcare-and-life-sciences-predictions-2020.pdf

4. 4. Romanova T.E., Rodina A.A., Romanov S.V., Abaeva O.P. Otsenka gotovnosti vracha mnogoprofilnogo statsionara k primeneniiu tsifrovykh tekhnologii v prakticheskoi deiatelnosti [Assessment of the quality of training of medical students during the COVID-19 pandemic for future work in practical healthcare]. ORGZDRAV: novosti, mneniia, obucheniia. Vestnik VShOUZ [ORGZDRAV: news, opinions, training. Bulletin of the Higher School of Healthcare Organization and Management]. 2022. Vol. 8. No. 1 (27). P. 75-81. (In Russ.)

5. 5. Romanova T.E., Abaeva O.P., Romanov S.V., Rodina A.A. Otsenka gotovnosti vracha mnogoprofilnogo statsionara k primeneniiu tsifrovykh tekhnologii v prakticheskoi deiatelnosti [Assessing the readiness of a doctor in a multidisciplinary hospital to use digital technologies in practice]. ORGZDRAV: novosti, mneniia, obucheniia. Vestnik VShOUZ [ORGZDRAV: news, opinions, training. Bulletin of the Higher School of Healthcare Organization and Management]. 2022. Vol. 8. No. 3 (29). P. 105-111. (In Russ.)

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