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Institution-Specific LLM Prompting Recovers PHI That De-identification Systems and Their Gold Standards Both Miss
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de-identificationLLMhealthcareprompt engineering
2608.17051
Builder Relevance
2h ago80%
Abstract
This study demonstrates that large language models (LLMs) can effectively recover institution-specific protected health information (PHI) that traditional de-identification systems overlook.
Reality Card
Core Claim
LLMs outperformed purpose-built de-identification systems in recovering institution-specific PHI while achieving a high recall rate.
Method / Result
LLMs achieved a recall of 0.981 with an F1 score of 0.907 after prompt adjustments.
Limitations
LLMs are more costly to run than traditional methods, which may limit their widespread adoption despite their effectiveness.
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