Building a Centralized Data Operations Hub for Healthcare Enterprise Integration
A Centralized Data Operations Hub represents a transformative architectural paradigm for healthcareorganizations facing unprecedented challenges in managing diverse data generated across their ecosystems.This hub architecture integrates structured electronic health record entries, unstructured clinical notes,medical imaging, and real-time monitoring data into a cohesive framework that enables comprehensivepatient information access. By implementing a modern data lake/lakehouse foundation, unified ingestionlayer, comprehensive metadata management, robust governance, and sophisticated processing pipelines,healthcare organizations can overcome the fragmentation of traditional approaches while establishingtechnical foundations for advanced analytics. The hub prioritizes healthcare-specific integration standardsincluding FHIR, HL7, DICOM, and IHE profiles to ensure semantic interoperability across systems.Benefits include improved data accessibility for clinicians, enhanced decision support capabilities,operational efficiency improvements, expanded research opportunities, strengthened regulatorycompliance, and significant cost optimization. Implementation considerations encompass phaseddeployment strategies, cultural change management, technical skills development, vendor ecosystemintegration, and continuous improvement processes that ensure the architecture remains aligned withevolving organizational needs.
Authors
- Pavan Kumar Boyapati -
Publication Details
- Journal
- International Journal on Science and Technology
- Published
- 2025-04-03
- DOI
- https://doi.org/10.71097/ijsat.v16.i2.3219
- Citations
- 1
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 2.28