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

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

by swotverge

Too Lengthy; Did not Learn

Uncover how giant language fashions (LLMs) revolutionize healthcare by instantly remodeling unstructured medical notes into Quick Healthcare Interoperability Sources (FHIR), enhancing information interoperability and effectivity.

The research explores utilizing Massive Language Fashions (LLMs), particularly OpenAI’s GPT-4, to transform unstructured medical notes into FHIR assets. By way of rigorous annotation and testing, the LLM achieved over 90% accuracy, surpassing earlier strategies. Suggestions embody various prompts and steady refinement. This innovation guarantees to boost well being information interoperability considerably.

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