AI to Structure Medical Data in Electronic Health Records: Fraunhofer IESE Develops System

Summary

The Fraunhofer-Institut iESE is developing a system that uses LLMs and NLP to automatically extract data from unstructured medical documents (like PDFs) and convert it into standardized formats such as FHIR, LOINC, and SNOMED-CT. This is expected to significantly improve the efficiency of electronic health record data processing.