Article

Benchmarking transformer-based models for medical record deidentification: A single centre, multi-specialty evaluation

2025-05-06

Abstract excerpt

<h4>Background</h4> Robust de-identification is necessary to preserve patient confidentiality and maintain public acceptance of electronic health record (EHR) research. Manual redaction of personally identifiable information (PII) outside of structured data is time-consuming and expensive, limiting the scale of data-sharing possible. Automated de-identification (DeID) could alleviate this burden, with competing ap...

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Literature Corpus work: 9db2e264-2c41-5c39-8d14-de17eeecf173
DOI: 10.1101/2025.05.05.25326979

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