Standardizing Healthcare Data for CMS Submission: FHIR, HL7, and Data Warehousing Integration
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V5I4P127Keywords:
FHIR, HL7, CMS Submission, Healthcare Interoperability, Data Warehousing, ETL Pipelines, Health Data Standardization, MIPS Reporting, Cloud Healthcare Analytics, Semantic Data IntegrationAbstract
The growing demand for interoperability and regulatory compliance in healthcare has made standardized data exchange a critical priority, particularly for submissions to the Centers for Medicare & Medicaid Services (CMS). This study explores the integration of Fast Healthcare Interoperability Resources (FHIR), Health Level Seven (HL7) standards, and modern data warehousing architectures to streamline CMS reporting workflows. While HL7 v2 and v3 have historically enabled clinical data exchange, their structural complexity and limited flexibility have constrained real-time analytics and large-scale regulatory reporting. FHIR, with its resource-based modular design and RESTful API capabilities, presents a more adaptable framework for harmonizing diverse healthcare datasets. This research proposes a unified architecture that bridges legacy HL7 messaging systems with FHIR-based APIs and centralized data warehouses. The approach focuses on transforming heterogeneous clinical, administrative, and claims data into standardized formats suitable for CMS quality reporting programs, including MIPS and value-based care initiatives. By incorporating Extract-Transform-Load (ETL) pipelines, semantic normalization layers, and cloud-based warehousing solutions, the model enhances data consistency, scalability, and accessibility. Findings indicate that integrating FHIR with enterprise data warehouses significantly improves data validation, reduces submission errors, and supports near real-time reporting capabilities. Additionally, the framework enables advanced analytics, such as predictive modeling for patient outcomes and compliance monitoring. However, challenges remain in areas such as data governance, mapping legacy HL7 segments to FHIR resources, and ensuring security under HIPAA constraints. Overall, this study highlights the importance of aligning interoperability standards with modern data infrastructure to meet evolving CMS requirements. The proposed integration framework offers a practical pathway for healthcare organizations seeking to improve reporting efficiency, data quality, and regulatory compliance in an increasingly data-driven environment.
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