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The Convergence of FHIR and AI: Revolutionizing Healthcare Data Interoperability

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  • Sai Sharan Reddy Mittapelly

    (Henry Ford Health System, USA)

Abstract

The integration of Fast Healthcare Interoperability Resources (FHIR) with artificial intelligence has revolutionized healthcare data management and patient care delivery. By addressing long-standing challenges in healthcare data interoperability, FHIR's standardized resource model enables seamless communication between disparate systems while maintaining robust security protocols. The implementation of AI-powered FHIR frameworks has significantly enhanced clinical decision support, predictive analytics, and automated workflow management across healthcare institutions. Through sophisticated event-driven architectures, these systems facilitate real-time data processing, comprehensive patient record integration, and automated care pathway optimization. Enhanced security measures, including OAuth 2.0 authentication and role-based access control, ensure data protection while enabling valuable insights. The emergence of federated learning approaches and blockchain integration further strengthens privacy preservation while advancing collaborative healthcare delivery. As healthcare technology continues to evolve, FHIR-AI integration presents transformative opportunities for improving patient outcomes, operational efficiency, and healthcare service delivery across global healthcare networks.

Suggested Citation

  • Sai Sharan Reddy Mittapelly, 2025. "The Convergence of FHIR and AI: Revolutionizing Healthcare Data Interoperability," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(5), pages 810-816, May.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:5:id:9889
    DOI: 10.32996/jcsts.2025.7.5.91
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