RedactOR combines schema rules, multi-pass LLM entity extraction, retrieval-based relexicalization, and ASR plus VAD audio redaction, achieving F1 0.9646 on a 100-note i2b2 2014 subsample.
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RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification
RedactOR combines schema rules, multi-pass LLM entity extraction, retrieval-based relexicalization, and ASR plus VAD audio redaction, achieving F1 0.9646 on a 100-note i2b2 2014 subsample.