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Cloud-Native Blueprint for Healthcare Payer CRM and Care Management on Salesforce Industries (Vlocity)

Author

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  • Susil Kumar Sahu

    (Solution Engineer Executive Advisor, Elevance Health,740 W Peachtree St NW Atlanta, GA 30308 (USA))

Abstract

The purpose of this article is to propose a cloud-native blueprint for healthcare payer customer relationship management (CRM) and care management using Salesforce Industries (Vlocity) and related cloud integration patterns. Healthcare payers increasingly need architecture models that can improve member engagement, accelerate service workflows, support interoperability, and preserve governance in regulated operating environments. Existing literature discusses healthcare cloud transformation, interoperability, and Salesforce-centered modernization, but there remains limited scholarly articulation of a payer-focused enterprise architecture model that unifies service operations, guided workflows, integration strategy, and governance-oriented delivery. This article adopts a design-oriented methodology based on enterprise architecture synthesis and platform analysis to build a reusable blueprint for large payer environments. The article finds that configuration-first workflow design, API-led interoperability, unified member-context management, and controlled release governance together form a more scalable and maintainable operating model than fragmented, customization-heavy legacy ecosystems. The significance of the article lies in presenting a practical and domain-specific cloud architecture framework that can guide healthcare payer modernization and contribute to the growing scholarly conversation on cloud computing in regulated health and insurance systems.

Suggested Citation

  • Susil Kumar Sahu, 2025. "Cloud-Native Blueprint for Healthcare Payer CRM and Care Management on Salesforce Industries (Vlocity)," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(6), pages 1135-1139, June.
  • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:6:id:12978
    DOI: 10.32996/jcsts.2025.7.6.135
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