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This study aims to examine Type 2 diabetes care as a strategic health ecosystem and to identify how differences in ecosystem design and coordination strategies influence system-level performance across countries. A cross-national comparative strategy analysis is conducted using secondary data from international and national health statistics covering the United States, the United Kingdom, Germany, Japan, China, India, and Taiwan during the period 2015–2024. The analysis is guided by an ecosystem-based strategic framework that integrates contextual system characteristics, core care strategies, and intermediate performance outcomes, including prevention orientation, accessibility of care resources, technological integration, coordination mechanisms, and community engagement. Multi-dimensional analytical and visualization techniques are applied to compare strategic configurations and performance patterns across national care ecosystems. The results reveal a continuous global increase in the prevalence of Type 2 diabetes, alongside substantial heterogeneity in care effectiveness across countries. Stronger ecosystem performance is associated with integrated care strategies, advanced digital coordination, stable primary care structures, and high accessibility supported by universal coverage and community-based networks. The study concludes that effective management of chronic disease depends not only on medical interventions but also on the strategic design and governance of healthcare ecosystems, emphasizing the importance of prevention-oriented strategies, digital maturity, reduction of access disparities, and localized ecosystem activation as critical levers for improving long-term system performance.

The incorporation of digital technology has become a crucial emphasis in the pursuit of efficiency, quality, and sustainability in contemporary healthcare operations. This study offers a theory-driven comparative analysis of digital technology integration in hospitals throughout the United States and chosen African nations: Nigeria, Kenya, and South Africa, utilising the Diffusion of Innovation (DOI) theory as the principal analytical framework. This review synthesises evidence from secondary data, including peer-reviewed literature, policy documents, and institutional reports, regarding the influence of policy environments, infrastructural readiness, workforce capability, and governance structures on the adoption and integration of digital health technologies in various contexts. The results indicate that U.S. hospitals possess a sophisticated and developed digital ecosystem characterised by extensive utilisation of electronic health records, artificial intelligence-driven diagnostics, telehealth, and interoperable systems, primarily attributable to robust regulatory mandates and continuous investment. Conversely, hospitals in the chosen African nations exhibit inconsistent and fragmented integration, hampered by infrastructural deficiencies, restricted digital competencies, and regulatory inconsistencies, yet supported by adaptable mobile-first and open-source innovations. Utilising the principles of prominent diffusion theories relevant to drive contexts, the constructs of DOI (relative advantage, compatibility, complexity, trialability, and observability) delineate varied adoption trajectories and opportunities for contextualised policy learning. The study finds that the digital divide in healthcare must be reduced through measures that integrate technical methods with institutional capacity, governance frameworks, and workforce development to ensure equitable and sustainable implementation in healthcare.