Advancing governance for digital transformation in health: insights from Georgia’s experience Article Swipe
George Gotsadze
,
Akaki Zoidze
,
Tamar Gabunia
,
Brian Chin
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1136/bmjgh-2024-015589
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1136/bmjgh-2024-015589
Enhancing digital health governance is critical to healthcare systems in low-income and middle-income countries. However, implementing governance-enhancing reforms in these countries is often challenging due to the multiplicity of external players and insufficient operational guidance that is accessible. Using data from desktop research, in-depth interviews, focus group discussions and three stakeholder workshops, this paper aims to provide insights into Georgia’s experience in advancing digital health governance reforms. It reveals how Georgia has progressed on this path by unpacking the general term ‘governance’ into operational domains, where stakeholders and involved institutions could easily relate their institutional and personal roles and responsibilities with the specific function needed for digital health. Based on this work, the country delineated institutional responsibilities and passed the necessary regulations to establish better governance arrangements for digital health. The Georgia experience provides practical insights into the challenges faced and solutions found for advancing digital health governance in a middle-income country setting. The paper highlights the usefulness of operational definitions for the digital health governance domains that helped (a) increase awareness among stakeholders about the identified domains and their meaning, (b) discuss possible governance and institutional arrangements relevant to a country context, and (c) design the digital health governance architecture that the government decreed. Finally, the paper offers a broad description of domains in which the governance arrangements could be considered and used for other settings where relevant. The paper points to the need for a comprehensive taxonomy for governance domains to better guide digital health governance enhancements in low-middle-income country settings.
Related Topics
Concepts
Corporate governance
Project governance
Digital health
Stakeholder
Public relations
Government (linguistics)
Information governance
Health care
Business
Political science
Knowledge management
Public administration
Economics
Economic growth
Information system
Computer science
Finance
Linguistics
Management information systems
Law
Philosophy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/bmjgh-2024-015589
- OA Status
- gold
- Cited By
- 1
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403028817
All OpenAlex metadata
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https://openalex.org/W4403028817Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1136/bmjgh-2024-015589Digital Object Identifier
- Title
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Advancing governance for digital transformation in health: insights from Georgia’s experienceWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-01Full publication date if available
- Authors
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George Gotsadze, Akaki Zoidze, Tamar Gabunia, Brian ChinList of authors in order
- Landing page
-
https://doi.org/10.1136/bmjgh-2024-015589Publisher landing page
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1136/bmjgh-2024-015589Direct OA link when available
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Corporate governance, Project governance, Digital health, Stakeholder, Public relations, Government (linguistics), Information governance, Health care, Business, Political science, Knowledge management, Public administration, Economics, Economic growth, Information system, Computer science, Finance, Linguistics, Management information systems, Law, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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