DIGITAL TRANSFORMATION AS A CATALYST FOR SUSTAINABLE HEALTH CARE SYSTEMS: A NARRATIVE REVIEW OF CURRENT EVIDENCE

Vasileios Leivaditis & Anastasios Sepetis

International Journal of Innovation Management2025https://doi.org/10.1142/s1363919625400092review
AJG 2
Weight
0.50

What the paper says

As health care systems worldwide face increasing challenges related to rising costs, ageing populations, and the need for improved environmental sustainability, digital transformation presents an opportunity to address these issues. This review explores the role of digital technologies such as artificial intelligence (AI), electronic health records (EHRs), telemedicine, and wearable devices in promoting sustainability across health care systems. By enhancing operational efficiency, reducing waste, and minimising the environmental impact of health care delivery, these technologies offer significant potential to drive sustainable change. The review also examines the integration of environmental, social, and governance (ESG) principles with digital transformation, highlighting the need for innovative, scalable business models to support the adoption of eHealth technologies, particularly in ageing populations. However, challenges such as the digital divide, data privacy concerns, and high implementation costs remain barriers to widespread adoption. To realise the full potential of digital health transformation, it is critical to address these challenges and foster collaboration among key stakeholders. This paper provides an evidence-based overview of how digital transformation can serve as a catalyst for creating more resilient, efficient, and sustainable health care systems.

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https://doi.org/https://doi.org/10.1142/s1363919625400092

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@article{vasileios2025,
  title        = {{DIGITAL TRANSFORMATION AS A CATALYST FOR SUSTAINABLE HEALTH CARE SYSTEMS: A NARRATIVE REVIEW OF CURRENT EVIDENCE}},
  author       = {Vasileios Leivaditis & Anastasios Sepetis},
  journal      = {International Journal of Innovation Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1142/s1363919625400092},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.44 × 0.4 = 0.18
M · momentum0.65 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.