# Preprint reports tailored LLM prompts improved detection of local health-data identifiers

_Wednesday, August 19, 2026 at 12:00 AM EDT · AI, Science · Latest · Tier 2 — Notable_

A preprint benchmarking de-identification on 100 pediatric-oncology notes from Texas Children's Hospital reports that institution-specific LLM prompting identified protected health information that purpose-built systems and reference annotations missed. Its best LLM result had F1 of 0.918 versus 0.779 for Stanford TiDE, while a final prompt reached 0.981 recall against 227 newly confirmed PHI spans. The authors found that naming local identifier categories recovered 48 of 61 previously missed categories; multi-agent configurations did not outperform calibrated single-pass prompts.

## Sources

- [cs.AI updates on arXiv.org](https://arxiv.org/abs/2608.17051)

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Retrieved: 2026-08-19T11:35:17.004Z
Publisher: Tech & Business (techandbusiness.org)