The profile of the patient to be ready to use digital technologies and Artificial Intelligence methods when receiving medical care
- Authors: Reshetnikova Y.S.1, Sharapova O.V.2, Katkova A.L.1, Nesterova O.A.3, Brynza N.S.1, Petrov I.M.1
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Affiliations:
- Tyumen State Medical University
- City Budgetary Clinical Hospital named after V.V. Vinogradov
- Tyumen State University
- Issue: Vol 66, No 1 (2022)
- Pages: 20-26
- Section: HEALTH CARE ORGANIZATION
- Submitted: 25.10.2024
- URL: https://rjonco.com/0044-197X/article/view/637723
- DOI: https://doi.org/10.47470/0044-197X-2022-66-1-20-26
- ID: 637723
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Abstract
Introduction. During the COVID-19 pandemic, there was quarantine, limited contacts, and an increased burden on the healthcare system in the last two years. These problems have led to a rethinking and transformation of patients’ readiness for the digitalisation of healthcare.
Purpose. to form a patient profile, ready to use digital technologies and artificial intelligence methods in medical care during the COVID-19 pandemic, based on technological competence and digital literacy skills analysis.
Material and methods. The sociological survey of patients was used through the remote distribution of links to the Google form on the Internet. The survey consists of 11 blocks, including an assessment of attitudes towards digital technologies and artificial intelligence in healthcare.
Results. The average age of respondents was 41.8 ± 0.7 years, mostly female 225 (74%) in the group of patients ready to use electronic wearable devices to monitor and control their health. One hundred thirty-one people (43.1 %) regularly monitor their blood pressure levels. One hundred thirty-seven people (45%) assess their health as good and 133 (43.7%) satisfactory. 256 (84.2%) respondents mostly work full-time. Ones do physical exercises regularly in 34.2% (n = 104) cases and rarely in 48,7% (n = 148). Only 164 respondents (29.4%) consider it possible to use artificial intelligence methods in providing medical care, preventing the development of diseases and promoting a healthy lifestyle, against 256 people (45.9%), the remaining 137 people (24.6%) found it difficult to answer. Women (49.7%) were more often against artificial intelligence methods than men (33.6%).
Conclusion. It is necessary to consider the patient’s profile characteristics, who is ready to use digital technologies and artificial intelligence methods in medical care when developing effective programs to increase the level and pace of healthcare’s digitalisation in the region.
About the authors
Yulia S. Reshetnikova
Tyumen State Medical University
Author for correspondence.
Email: reshetnikovayul@mail.ru
ORCID iD: 0000-0001-6726-7103
Associate Professor of public health and health care Department of Institute of Continuing Professional Development of the Tyumen State Medical University, Tyumen Region, Tyumen, 625023, Russian Federation.
e-mail: reshetnikovayul@mail.ru
Russian FederationOlga V. Sharapova
City Budgetary Clinical Hospital named after V.V. Vinogradov
Email: noemail@neicon.ru
ORCID iD: 0000-0003-0384-1705
Russian Federation
Alla L. Katkova
Tyumen State Medical University
Email: noemail@neicon.ru
ORCID iD: 0000-0002-4014-408X
Russian Federation
Olga A. Nesterova
Tyumen State University
Email: noemail@neicon.ru
ORCID iD: 0000-0001-7691-0885
Russian Federation
Natalia S. Brynza
Tyumen State Medical University
Email: noemail@neicon.ru
ORCID iD: 0000-0001-5985-1780
Russian Federation
Ivan M. Petrov
Tyumen State Medical University
Email: noemail@neicon.ru
ORCID iD: 0000-0001-7766-1745
Russian Federation
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