A FHIR-Native Architecture for Interoperable Health Data
Keywords:
Generative AI in Healthcare,FHIR Interoperability Framework,Real-Time Medical Coding,AI-Driven Healthcare Data Exchange,Clinical Data Standardization,Automated ICD/CPT Coding,HL7 FHIR Integration,Healthcare Information Systems,Intelligent Clinical Documentation,Semantic Healthcare Interoperability.Abstract
The Fast Healthcare Interoperability Resources (FHIR) specification, established by Health Information Technology standards bodies, defines a set of API-based interoperability resources and is rapidly becoming the global standard for exchanging clinical data in healthcare. The proposed framework enables bi-directional, real-time conversion between clinical data in any format and its FHIR representation across healthcare systems. Cross-domain coding is handled through FHIR-based SNOMED CT, along with region-specific standards such as ICD-10-CM in the United States and the UK, and ICD-10-CA in Canada. Procedures, diagnostic tests, investigations, and COVID-19-related data are standardized using LOINC codes, generated through a hybrid human-AI approach that combines prompt engineering and meta-vision techniques with a widely used machine learning model, along with a novel method for detecting complex LOINC code graphs. The resulting LOINC codes are integrated with the broader, interoperable SNOMED CT terminology. The framework accepts unstructured clinical data as input and produces FHIR-compliant resources, complete with ICD-10-CM associations, as output.
Generative AI currently ranks among the highest priorities for research and development across the IT industry, including healthcare. ChatGPT's breakthrough success has catalyzed a wave of similar generative AI products and initiatives. The level of attention, financial investment, and rapid succession of new releases underscore the significance of generative AI to the business world, the broader software economy, and society at large. Healthy Data's healthcare management system has already demonstrated the value of generative AI for FHIR-compliant coding in data exchange, and substantial preparation — both technological and content-related — is now underway toward the next step: a fully generative AI-driven product for healthcare.
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