ArticleDigital health
Digital health technologies and innovation patterns in diabetes ecosystems.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Digital Management of Early-Onset Type 2 Diabetes: Empowerment, Challenges, and Future Outlook.Current diabetes reports · 2026Review
- Digital Quality Monitoring for Type 2 Diabetes in Swiss Primary Care: Qualitative Interview Study.Journal of medical Internet research · 2026Article
- A care quality dashboard for general practitioners managing patients with diabetes mellitus type 2: user-centered design and prototype evaluation.BMC medical informatics and decision making · 2026Article
- Intrinsic capacity decline and intervention needs among older adults in a rural northern Chinese village: a qualitative study.BMC geriatrics · 2026Article
- Technology-driven diabetes care: innovation without equity?Frontiers in digital health · 2026Article
- Predicting postprandial glucose excursions to personalize dietary interventions for type-2 diabetes management.Scientific reports · 2025Article
- Bridging the digital divide: student-led literacy initiatives in diabetes management.Frontiers in clinical diabetes and healthcare · 2025Review
- Article
- Barriers and facilitators of implementing value-based care: The case of SwissDiabeter.Digital healthArticle
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The global rise in type-2 diabetes (T2D) has prompted the development of new digital technologies for diabetes management. However, despite the proliferation of digital health companies for T2D care, scaling their solutions remains a critical challenge. This study investigates the digital transformation of T2D ecosystems and seeks to identify key innovation patterns. We examine: (1) What are emerging organizations in digital diabetes ecosystems? (2) What are the value streams in digital T2D ecosystems? (3) Which innovation patterns are present in digital T2D ecosystems? Methods: We conducted a literature review and market analysis to characterize organizations and value streams in T2D ecosystems, pre- and post-digital transformation. We used the e3-value methodology to visualize T2D ecosystems (RQ1 and RQ2) and conducted expert interviews to identify emerging innovation patterns in digital diabetes ecosystems (RQ3). Results: Our analyses revealed the emergence of eight organization segments in digital diabetes ecosystems: real-world evidence analytics, healthcare management platforms, clinical decision support, diagnostic and monitoring, digital therapeutics, wellness, online community, and online pharmacy (RQ1). Visualizing the value streams among these organizations highlights the crucial importance of individual health data (RQ2). Furthermore, our analysis revealed four major innovation patterns within the digital diabetes ecosystem: open ecosystem strategies, outcome-based payment models, platformization, and user-centric software (RQ3). Conclusions: Our findings illustrate the transition from traditional value chains in T2D care to platform-based and outcome-oriented models. These innovation patterns can inform strategic decisions for companies and healthcare providers, potentially helping anticipate new digital trends in diabetes care and across other chronic disease ecosystems.
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