Integrating Business and Health Analytics: A Conceptual Framework for Dual Outcomes in Healthcare
DOI:
https://doi.org/10.65166/04pdc866Keywords:
Business analytics, Health analytics, Data integration, Analytics capability, Decision quality, Dual outcomes, Organizational alignment, Big data in healthcare, Knowledge absorptive capacity, Healthcare sustainability, Conceptual paperAbstract
Healthcare organizations operate in increasingly data-rich environments, yet health analytics and business analytics remain largely siloed. Health analytics prioritizes patient outcomes, safety, and population health, while business analytics emphasizes efficiency, financial stability, and competitive advantage. This fragmentation limits organizations’ ability to achieve dual objectives, often resulting in competing priorities and missed opportunities for synergy. This paper proposes a unified conceptual framework that integrates business and health analytics, linking four core elements: data integration, analytics capability, decision quality, and dual outcomes. Drawing on recent literature, the framework establishes a processual pathway—data integration → analytics capability → decision quality → dual outcomes (health and business)—with organizational alignment as a moderator. The study articulates five propositions that explain how integrated analytics improves decision-making and drives simultaneous clinical and financial benefits, while highlighting barriers such as data silos, privacy concerns, and resistance to adoption. Theoretical contributions include clarifying analytics capability as a multidimensional construct and demonstrating its interaction with absorptive capacity and organizational resources. Practical implications emphasize investments in integrated analytics platforms, policy frameworks that support interoperability and governance, and tools that balance patient-centered and efficiency-focused performance measures. Finally, directions for future research are outlined, including empirical validation, multi-level testing, comparative analysis across contexts, and advanced methodological applications. By advancing this integrative framework, the paper provides scholars, policymakers, and practitioners with a roadmap for aligning analytics with the dual imperatives of healthcare: clinical excellence and organizational sustainability.
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