Digital Health as an Organizational Change Catalyst: A Conceptual Review from a Healthcare Management Perspective

Digital health technologies encompassing telemedicine, artificial intelligence (AI), electronic health records (EHRs), wearable sensors, and blockchain-enabled platforms are no longer peripheral tools but increasingly central catalysts for profound organizational transformation within healthcare systems. This conceptual review synthesizes evidence from high-impact sources (published between 2018–2026) to examine how digital health reshapes structures, processes, cultures, and governance in healthcare organizations. Drawing on Socio-Technical Systems (STS) theory and diffusion of innovations (DOI) frameworks, digital health can be conceptualized as a disruptive force that simultaneously challenges legacy hierarchies and enables new forms of value creation, patient-centeredness, and system resilience. Key insights from the reviewed literature indicate that mature digital health implementations are associated with reported efficiency gains ranging from 15% to 30% and reductions in avoidable hospitalizations between 10% and 25%, depending on implementation context, health system capacity, and level of integration. However, uneven adoption exacerbates digital divides: low- and middle-income countries face infrastructural and workforce barriers that limit benefits to 20–40% of potential. This study identifies critical enablers leadership commitment, interprofessional training, ethical governance and barriers, including resistance to change, interoperability deficits, and privacy risks. This review calls for healthcare managers and policymakers to adopt a deliberate change-management lens, treating digital health not as a technology project but as a strategic organizational redesign imperative. Future trajectories point towards AI-human symbiosis, federated learning ecosystems, and value-based digital financing models that could redefine health system performance by 2035. By bridging theory and practice, this synthesis offers a roadmap for equitable, sustainable digital transformation in global healthcare.

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Publication Details

Journal
Journal of Health Systems and Policies
Published
2026-06-30
DOI
https://doi.org/10.52675/jhesp.1882046
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Digital Health as an Organizational Change Catalyst: A Conceptual Review from a Healthcare Management Perspective

Ufuk Burak Karcıoğlu
Journal of Health Systems and Policies
Artificial Intelligence in Healthcare and Education
article

Digital Health as an Organizational Change Catalyst: A Conceptual Review from a Healthcare Management Perspective

Ufuk Burak Karcıoğlu
article en

Abstract

Digital health technologies encompassing telemedicine, artificial intelligence (AI), electronic health records (EHRs), wearable sensors, and blockchain-enabled platforms are no longer peripheral tools but increasingly central catalysts for profound organizational transformation within healthcare systems. This conceptual review synthesizes evidence from high-impact sources (published between 2018–2026) to examine how digital health reshapes structures, processes, cultures, and governance in healthcare organizations. Drawing on Socio-Technical Systems (STS) theory and diffusion of innovations (DOI) frameworks, digital health can be conceptualized as a disruptive force that simultaneously challenges legacy hierarchies and enables new forms of value creation, patient-centeredness, and system resilience. Key insights from the reviewed literature indicate that mature digital health implementations are associated with reported efficiency gains ranging from 15% to 30% and reductions in avoidable hospitalizations between 10% and 25%, depending on implementation context, health system capacity, and level of integration. However, uneven adoption exacerbates digital divides: low- and middle-income countries face infrastructural and workforce barriers that limit benefits to 20–40% of potential. This study identifies critical enablers leadership commitment, interprofessional training, ethical governance and barriers, including resistance to change, interoperability deficits, and privacy risks. This review calls for healthcare managers and policymakers to adopt a deliberate change-management lens, treating digital health not as a technology project but as a strategic organizational redesign imperative. Future trajectories point towards AI-human symbiosis, federated learning ecosystems, and value-based digital financing models that could redefine health system performance by 2035. By bridging theory and practice, this synthesis offers a roadmap for equitable, sustainable digital transformation in global healthcare.

Journal of Health Systems and PoliciesVol. 8(1)
Istinye University (TR)
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
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