Enhancing Health Data Interoperability with Large Language Models: A FHIR Study

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Discover how large language models (LLMs) revolutionize healthcare by directly transforming unstructured clinical notes into Fast Healthcare Interoperability Resources (FHIR), improving data interoperability and efficiency.
The study explores using Large Language Models (LLMs), specifically OpenAI’s GPT-4, to convert unstructured clinical notes into FHIR resources. Through rigorous annotation and testing, the LLM achieved over 90% accuracy, surpassing previous methods. Recommendations include diverse prompts and continuous refinement. This innovation promises to enhance health data interoperability significantly.