Providing accurate, complete, and contextful information from medical notes with llms.
AssigneePredicta Med LTD
InventorsDimid Duchovny, Benjamin Getz
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AssigneePredicta Med LTD
InventorsDimid Duchovny, Benjamin Getz
Estimating the term…
The present disclosure provides a computer-implemented method for analyzing medical notes using knowledge graph enhanced language models. The method comprises receiving a medical note, processing it with a large language model to identify medical entities, determining entity types, accessing a corresponding knowledge graph containing structured medical knowledge, generating augmented context by retrieving relevant information from the knowledge graph, and reprocessing the medical note with the large language model using the augmented context to generate enhanced analysis results. Medical entities may comprise diagnoses, medications, laboratory results, or procedures. The knowledge graph may comprise ICD-10 or other standardized medical coding systems. Enhanced results may comprise medical coding verification, diagnosis accuracy checking, or consistency validation.
A computer-implemented method for analyzing medical notes using knowledge graph enhanced language models, comprising:
A system for providing medical information analysis, comprising:
A computer-readable medium comprising instructions that, when executed by a processor, cause the processor to perform a method for analyzing medical notes using knowledge graph enhanced language models, the method comprising:
Dependencies are inferred from the claim text.