Towards an innovative digital transformation of public administration in Romania through the implementation of artificial intelligence in the process of developing public policies in the field of health

Daniela Georgiana Golea, Andreea Florina Radu and Oana Ștefania Coșa
Additional contact information
Daniela Georgiana Golea: PhD candidate in Political Science (University of Ruse "Angel Kanchev", Bulgaria
Andreea Florina Radu: PhD in Administrative Sciences (Babeș- Bolyai University, Cluj-Napoca, Romania)
Oana Ștefania Coșa: PhD candidate in Economic and Humanistic Sciences ("Valahia" University of Târgoviște, Romania)

Technium Social Sciences Journal, 2025, vol. 71, issue 1, 177-193

Abstract: In the context of global digitisation and the increasing complexity of public health challenges, the integration of artificial intelligence (AI) into public administration emerges as a transformative strategy. This article explores the potential of AI to fundamentally reshape the process of policy-making in Romania's healthcare sector, aiming to transition from reactive governance to anticipatory and data-driven decision-making. The study begins by outlining the conceptual framework of digital transformation and algorithmic governance, followed by an analysis of current limitations in Romania's public health administration. By examining international best practices and identifying contextual opportunities, the paper proposes a structured model for AI integration, tailored to Romania's institutional landscape. The originality of this study lies in its interdisciplinary approach, combining digital innovation theory with empirical public policy analysis to support a paradigm shift in governance.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://techniumscience.com/index.php/socialsciences/article/view/12793 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tec:journl:ojs:12793

DOI: 10.47577/tssj.v71i1.12793

Access Statistics for this article

Technium Social Sciences Journal is currently edited by Tasente Tanase

More articles in Technium Social Sciences Journal from Technium Science
Bibliographic data for series maintained by Tasente Tanase ( this e-mail address is bad, please contact ).