Privacy-Aware, Public-Aligned : Embedding Risk Detection and Public Values into Scalable Clinical Text De-Identification for Trusted Research Environments

Casey, ArleneDunbar, StuartGruber, FranzMcInerney, SamuelFalis, MatúšLinksted, PamelaWilde, KatieHarrison, KathyHamilton, AlisonCole, Christian2025-08-212025-08-212025-06-01Casey, A, Dunbar, S, Gruber, F, McInerney, S, Falis, M, Linksted, P, Wilde, K, Harrison, K, Hamilton, A & Cole, C 2025 'Privacy-Aware, Public-Aligned : Embedding Risk Detection and Public Values into Scalable Clinical Text De-Identification for Trusted Research Environments' ArXiv. https://doi.org/10.48550/arXiv.2506.02063ArXiv: http://arxiv.org/abs/2506.02063v1ORCID: /0000-0001-5024-8846/work/190474970https://hdl.handle.net/2164/2588713578018engcs.CRClinical freetextDe-identificationPrivacy riskNatural Language ProcessingTrusted Research EnvironmentsQ Science (General)Q1Privacy-Aware, Public-Aligned : Embedding Risk Detection and Public Values into Scalable Clinical Text De-Identification for Trusted Research EnvironmentsPreprint10.48550/arXiv.2506.02063