AI-Powered FHIR Framework for Real-Time Health Data Exchange
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 defines a set of API-based interoperability resources, established by Healtcare Information Technology; it is rapidly becoming the standard for the exchange of clinical data in the global healthcare space. The proposed framework's integration into all healthcare systems would allow bi-directional real-time conversion between any clinical data and FHIR representation. The bi-directional cross-domain codes are FHIR-based SNOMED CT and ICD-10-CM for the UK and ICS-10-CA for Canada. These general-purpose codes are standardised in LOINC for procedures, diagnostic tests, investigations, and COVID-19. LOINC coding is performed by a hybrid human-AI approach, combining with prompt engineering and meta-vision a generally-used machine-learning model with a new detection of complex LOINC code graphs. The generated LOINC code is integrated with the general interchangeable SNOMED CT. The framework considers as input any unstructured clinical data and provides as output a set of FHIR-compliant resources with complete ICD-10-CM association.
Generative AI is currently the most important priority of research and development in the IT space, including the healthcare sector. ChatGPT is a breakthrough application, and its rapid success is stimulating and motivating a cascade of new similar generation AI products and developments. The attention, the financial commitment, and the growth rate of one product after the other clearly demonstrate the interest of generative AI to the business world, to the economy of the software industry, and to society as a whole worldwide. Healthy Data's healthcare management system successfully harnessed the benefits of generation AI for FHIR-compliant coding of data exchange, and thus broad preparations, in terms of technology and content, are being undertaken for the next baby step towards a full generative AI product for healthcare.
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