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September 17, 2026BMC Medical Informatics and Decision MakingOpen Access

Keeping it real: a hybrid approach combining de-identification and synthetic text generation for privacy preserving clinical data sharing

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Authors

ASAtiquer Rahman SarkarYCYao-Shun ChuangFSFatima Jahan Sarmin

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Cite This Study

Sarkar et al. (2026) studied this question.

synapsesocial.com/papers/6aabb6c75f706d05830e56e4https://doi.org/10.1186/s12911-026-03811-8
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Measuring the gap: correlating synthetic-to-real drift with PHI de-identification performance.2026
  2. 2Term2Note: Synthesising Differentially Private Clinical Notes from Medical Terms2025
  3. 3Automated De-Identification, Consistent Obfuscation, and Regulatory Grade Validation of 2 Billion Patient Notes2025
  4. 4Privacy-Aware, Public-Aligned: Embedding Risk Detection and Public Values into Scalable Clinical Text De-Identification for Trusted Research Environments2025
  5. 5Clinical Text De-Identification Beyond PHI Detection: A Scoping Review2026