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TIDE 2.0 engine offers model-agnostic de-identification for clinical notes

By PulseAugur Editorial · [1 sources] ·

Researchers have developed TIDE 2.0, an open-source engine designed for the de-identification of clinical notes, making them suitable for research purposes. This engine operates in two stages: an interchangeable recognizer and a cryptographically secure anonymizer that runs on local institutional hardware. A key feature is its ability to preserve temporal intervals and ensure consistent anonymization across multiple occurrences of the same identifier within a patient's notes, without relying on stored linkage tables. The system includes TIDE2-Sentry, a recognizer derived from a large language model, which achieved a span-level recall of 0.88 on in-domain data and 0.77 on a cross-institution corpus. AI

IMPACT Enhances the usability of clinical data for research by enabling secure and privacy-preserving analysis.

RANK_REASON The cluster contains an academic paper detailing a new technical engine for de-identifying clinical notes. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

TIDE 2.0 engine offers model-agnostic de-identification for clinical notes

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The cluster contains an academic paper detailing a new technical engine for de-identifying clinical notes. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jose D. Posada, Somalee Datta, Priya Desai ·

    TIDE 2.0: an open, model-agnostic engine for keyed de-identification of clinical notes

    arXiv:2610.07224v1 Announce Type: cross Abstract: Clinical notes capture most of what is documented about a patient's care, but they cannot be used for research until protected health information (PHI) is removed. De-identification is often treated as a detection problem. Detecti…

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