Problems of Social Hygiene, Public Health and History of MedicineProblems of Social Hygiene, Public Health and History of Medicine0869-866X2412-2106Joint-Stock Company Chicot35210.32687/0869-866X-2020-28-s1-694-700Научная статьяDigital transformation of healthcare: a competency-based approachBelolipetskayaA. E.-GolovinaT. A.golovina_t78@mail.ruPolyaninA. V.-Central Russian Institute of Management, Branch of RANEPA151220202869470006042021Copyright © 2020,2020The article substantiates the relevance of the study of the essence, tools and mechanisms of digital transformation of the health sector. A comparative assessment of the current health care system in the cities of the world is presented, trends in the use of end-to-end technologies for improving the health care system in Russia are revealed. The development of the health sector in modern conditions is based on the introduction of new information and communication technologies, for the proactive use of which, it is necessary to increase the digital skills and awareness of health workers and the population. The national projects of the Russian Federation «Health care» and «Digital economy» speak about the need to implement design solutions for the formation of competence models of personnel in the conditions of global digitalization. The formation of the digital contour of the health sector should be based on a clear understanding of the competence profile, its inclusion in the innovative health care system and the preservation of human capital. The use of competence approach to the digital transformation of healthcare contributes to improving the adaptability of the existing system of health organization to the new technological order provides the possibility of introducing cross-cutting technologies in the processes of decision-making to improve the accessibility and quality of care.healthcaredigital transformationdigital technologiesdigital competencecompetence approachсфера здравоохраненияцифровая трансформацияцифровые технологиицифровая компетенциякомпетентностный подход1.Заикина Г. А. Роботизированные системы в медицине. Какими им быть? Вестник Российской академии наук. 2018;88(9):785-92.2.ЦМАКП (2018). Развитие цифровой экосистемы: прямые и косвенные эффекты для экономики. Доклад представлен на IV Санкт-Петербургском экономическом конгрессе «Форсайт Россия: новое индустриальное общество. Будущее» (СПЭК-2018). Режим доступа: http://www.forecast.ru/_ARCHIVE/Presentations/DBelousov/2018-03-31IT-ECO.pdf (дата обращения 08.05.2020).3.Acemoglu D., Restrepo P. The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand. IZA Discussion Paper 12292. Bonn: Institute of Labor Economics; 2019.4.Brynjolfsson E., Mitchell T. What can machine learning do? Workforce implications. Science. 2017;358(6370):1530-4.5.Frey C. B., Osborne M. A. (2017) The future of employment: How susceptible are jobs to computerisation? Technol. Forecast. Soc. Change. 2017;114:254-80. Режим доступа: https://www.sciencedirect.com/science/article/pii/S0040162516302244 (дата обращения 08.11.2019).6.Gokhberg L., Kuzminov I., Bakhtin P., Tochilina E., Chulok A., Timofeev A., Lavrynenko A. Big-Data-Augmented Approach to Emerging Technologies Identification: Case of Agriculture and Food Sector. HSE Working Paper WP BRP 76/STI/2017. Moscow: HSE; 2017.7.Hornick J. 3D Printing in Healthcare. J. 3D Print. Med. 2016;1(1):13-7.8.Kostyak L., Shaw D. M., Elger B. S., Annaheim B. A means of improving public health in low- and middle-income countries? Benefits and challenges of international public-private partnerships. Pub. Health. 2017;149:120-9.9.McKinsey Global Institute. A future that works: Automation, employment and productivity. New York: McKinsey Global Institute; 2017. Режим доступа: https://www.mckinsey.com/~/media/mckinsey/featured%20insights/Digital%20Disruption/Harnessing%20automation%20for%20a%20future%20that%20works/MGI-A-future-that-works-Executive-summary.ashx (дата обращения 08.11.2019).