Enterprise Implementation Blueprint for Salesforce Data Cloud in Healthcare Ingestion, Harmonization, Identity Resolution, Data Quality, and Consent-Aware Activation

Healthcare organizations increasingly need a unified data layer that can connect member, patient, provider, and interaction data across fragmented enterprise systems. Salesforce Data Cloud offers a practical platform for ingesting, harmonizing, unifying, and activating data across customer and service workflows, but enterprise value depends on more than technical connectivity [file:2]. The implementation challenge in healthcare is shaped by fragmented source systems, inconsistent identifiers, governance constraints, privacy obligations, and operational trust requirements [file:2]. This paper presents a revised enterprise implementation blueprint for Salesforce Data Cloud in healthcare environments organized around five layers: source ingestion, harmonization, identity resolution, data quality management, and consent-aware activation [file:2]. In response to peer-review feedback, the paper now clarifies its conceptual methodology, adds a healthcare implementation vignette with indicative outcome measures, expands the discussion of governance and deployment risks, and introduces a visual architecture model to strengthen conceptual clarity [file:1][file:2]. The objective is to provide a more academically grounded and practically useful reference for enterprise architects, healthcare CRM teams, data governance leaders, and digital transformation stakeholders working to create trusted and scalable data ecosystems [file:1][file:2].

Salesforce Data Cloud, Healthcare CRM, Identity Resolution, Data Quality, Data Harmonization

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5. Almalak A, et al. A framework for health information governance: a scoping review, 2024 [file:2]. [Google Scholar] [Crossref]

6. Javaid SM, et al. Digital Transformation in Healthcare: Technology Acceptance and Its Applications, 2023 [file:2]. [Google Scholar] [Crossref]

7. Additional peer-reviewed literature on healthcare interoperability, enterprise architecture, data governance, master data management, and CRM adoption should be incorporated in the final submission bibliography to further strengthen scholarly positioning, consistent with the review recommendation [file:1]. [Google Scholar] [Crossref]

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