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Sustainable Digital Transformation in Healthcare: Advancing a Digital Vascular Health Innovation Solution

Author

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  • Segun Akinola

    (Johannesburg Business School, University of Johannesburg, Johannesburg 2092, South Africa)

  • Arnesh Telukdarie

    (Johannesburg Business School, University of Johannesburg, Johannesburg 2092, South Africa)

Abstract

This systematic review focuses on digital transformation in vascular healthcare to identify key focus areas for innovation, benefits, challenges, best practices, sustainable approaches, and the impact on patient outcomes. This study includes mobile health technologies and artificial intelligence (AI), examining aspects such as data analytics and interoperability with patient-centered care. The finding reveals a growing utilization of telehealth, AI, and mobile health technologies in vascular (circulatory) healthcare. The use of telehealth services facilitates remote patient monitoring with an enhancement in patient access to care. AI supports predictive models and decision support, while mobile health technologies promote patient engagement and self-management. This review emphasizes that prioritizing digital transformation in vascular healthcare brings various advantages, including improved efficiency and enhanced patient outcomes with a reduction in cost. However, challenges such as limitations, interoperability issues, and data security concerns must be addressed. The best practice comprises stakeholders’ engagement and comprehensive training. The impact of digital transformation on patient outcomes in circulatory healthcare is positive, mainly in the management of life-threatening conditions. This review offers valuable insights for prioritizing the digital transformation and enhancement of patient outcomes in vascular healthcare.

Suggested Citation

  • Segun Akinola & Arnesh Telukdarie, 2023. "Sustainable Digital Transformation in Healthcare: Advancing a Digital Vascular Health Innovation Solution," Sustainability, MDPI, vol. 15(13), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10417-:d:1185127
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    References listed on IDEAS

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    2. Yue Kang & Zhao Cai & Chee-Wee Tan & Qian Huang & Hefu Liu, 2020. "Natural language processing (NLP) in management research: A literature review," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(2), pages 139-172, April.
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    Cited by:

    1. Sabrina Schork & Dilan Özdemir-Kaluk & Cudi Zerey, 2025. "Understanding Innovation and Sustainability in Digital Organizations: A Mixed-Method Approach," Sustainability, MDPI, vol. 17(2), pages 1-25, January.

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