Purpose This study aims to explore the systemic innovation nature of digital health-care solutions (DHS). It emphasizes the complexity of delivering technological applications by integrating technologies within organizational and institutional frameworks. Design/methodology/approach The authors structured the analysis using a knowledge mobilization framework, which is divided into four phases: knowledge production, knowledge flow, knowledge demand addressal and knowledge application. The analysis draws on three distinct DHS case studies in Mexico, validating the framework’s utility by providing evidence for each phase. Findings The study reveals significant interactions among knowledge production, knowledge flow, knowledge demand addressal and knowledge application. Observed heterogeneity within DHS cases underscores the importance of contextual factors and adaptive strategies in shaping outcomes. The authors find evidence of an interplay between knowledge application and knowledge production, attributed to effective DHS service model design. The study also highlights the impact of regulatory frameworks, noting that the absence of robust guidelines in Mexico leads to reliance on microlevel institutional efforts, that creates a risk of possible misalignment with broader state recommendations. Originality/value The paper presents a tool for analyzing the development process of systemic innovation in DHS through a knowledge mobilization framework that considers knowledge production, knowledge flow, knowledge demand addressal and knowledge application. It provides a comprehensive approach for scholars and policymakers to understand and implement DHS.
Natera et al. (2025) studied this question.