r/LocalLLaMA: Meddies PII — Open Multilingual De-Identification Model for Clinical Text Lets AI Reason Over Medical Records Without Patient Identity

A new open-weight multilingual NLP model for clinical text de-identification was shared on r/LocalLLaMA, built on the premise that a clinical AI does not need to know who the patient is to reason clinically—it needs symptoms, medications, lab results, diagnosis history, and treatment course. The model strips PII from medical records where personal identifiers and clinical facts are interleaved, enabling downstream LLM use without patient identity exposure, and supports multiple languages to address non-English clinical data gaps. The developer frames it as privacy-layer infrastructure required before LLMs can be legally and safely deployed on real patient data in most jurisdictions.