Medico-social rationale for the development of digital personnel potential in healthcare

The digital transformation of the healthcare system is a key factor in improving the efficiency of medical services and sector management. One of the critical aspects of this transformation is the development of digital workforce potential, which includes the formation and enhancement of digital competencies among healthcare professionals. The aim of the study was to provide a medical and social justification and develop a conceptual model for the development of the digital potential of healthcare personnel to improve the sector's operational efficiency. A comprehensive approach was applied in the research, including a sociological survey of 162 healthcare professionals (practicing physicians, managers, and researchers), an analysis of strategic documents, the conceptual modeling method, and statistical analysis using standard tests conducted via Jupyter Notebook (https://jupyter.org). The findings indicate that the overall self-assessed level of digital competencies among healthcare professionals is moderate – 2.63 (95% CI 2.53-2.74) on a 5-point scale – suggesting potential for further growth. The highest competency level was recorded in general digital literacy, while the lowest was in digital tools and applications. Statistically significant differences were identified (p<0.001), as well as a positive correlation between the level of digital skills and the awareness of their importance for professional activities. The study identified the key stages in the cycle of forming, developing, and consolidating digital competencies among healthcare personnel while building digital human resource potential in healthcare. The most important stakeholder groups were also highlighted, with the top three, as identified by respondents, being: the Ministry of Health, higher medical education institutions, and healthcare institutions. Other key stakeholders include healthcare professionals and patients. Among the measures for developing digital competencies in healthcare personnel, respondents rated infrastructure development as the most significant at the systemic and organizational levels (over 40% of top ratings). A conceptual model for the digital potential of healthcare personnel in the healthcare system has been proposed. This model could serve as a foundation for developing further strategies in this area and contribute to achieving the primary goal of the sector – improving public health.

Authors

Publication Details

Journal
Medicni perspektivi
Published
2025-06-27
DOI
https://doi.org/10.26641/2307-0404.2025.2.333698
Citations
1
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Medico-social rationale for the development of digital personnel potential in healthcare

Л. В. Крячкова, K.I. Simon
1 citations
Medicni perspektivi
Healthcare Systems and Public Health
1.35
article

Medico-social rationale for the development of digital personnel potential in healthcare

Л. В. Крячкова, K.I. Simon
article en
1 citations

Abstract

The digital transformation of the healthcare system is a key factor in improving the efficiency of medical services and sector management. One of the critical aspects of this transformation is the development of digital workforce potential, which includes the formation and enhancement of digital competencies among healthcare professionals. The aim of the study was to provide a medical and social justification and develop a conceptual model for the development of the digital potential of healthcare personnel to improve the sector's operational efficiency. A comprehensive approach was applied in the research, including a sociological survey of 162 healthcare professionals (practicing physicians, managers, and researchers), an analysis of strategic documents, the conceptual modeling method, and statistical analysis using standard tests conducted via Jupyter Notebook (https://jupyter.org). The findings indicate that the overall self-assessed level of digital competencies among healthcare professionals is moderate – 2.63 (95% CI 2.53-2.74) on a 5-point scale – suggesting potential for further growth. The highest competency level was recorded in general digital literacy, while the lowest was in digital tools and applications. Statistically significant differences were identified (p<0.001), as well as a positive correlation between the level of digital skills and the awareness of their importance for professional activities. The study identified the key stages in the cycle of forming, developing, and consolidating digital competencies among healthcare personnel while building digital human resource potential in healthcare. The most important stakeholder groups were also highlighted, with the top three, as identified by respondents, being: the Ministry of Health, higher medical education institutions, and healthcare institutions. Other key stakeholders include healthcare professionals and patients. Among the measures for developing digital competencies in healthcare personnel, respondents rated infrastructure development as the most significant at the systemic and organizational levels (over 40% of top ratings). A conceptual model for the digital potential of healthcare personnel in the healthcare system has been proposed. This model could serve as a foundation for developing further strategies in this area and contribute to achieving the primary goal of the sector – improving public health.

Medicni perspektiviVol. 30(2)
Openalex Percentile: Top 18%
Healthcare Systems and Public Health
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.