Author

Andrew Wen

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Open access Sep 2026

Leveraging Large Language Models for Temporal PHI De-identification in Real-World Clinical Notes

De-identifying temporal protected health information (PHI) is challenging because temporal expressions appear in diverse formats and must be transformed while preserving clinically meaningful timelines. This study proposes and evaluates an LLM-based framework for temporal PHI de-identification in real-world clinical no...

Xiao-Meng Wang, Li-Wei Wang, Andrew Wen et al. · medRxiv · 0 citations

Open access Aug 2026

A machine-assisted framework for systematic error analysis in clinical concept extraction

MedError, a machine-assisted, human-in-the-loop framework, improves the standardization, validity, and efficiency of clinical NLP error analysis, supporting more transparent and trustworthy model deployment.

Sun-Yang Fu, Qiu-Hao Lu, J. Ahn et al. · Nature Communications · 1 citation

#large language models Open access Sep 2026

A multi-site benchmarking framework for scalable extraction of geriatric care constructs from electronic health records

Findings highlight key trade-offs among symbolic, generative, and instruction-tuned approaches for CGA and 4Ms phenotyping, suggesting that hybrid heuristic-LLM methods offer interpretability and stability, whereas large language models provide greater adaptability for complex clinical narratives.

Sun-Yang Fu, M. J. Kwak, J. Ahn et al. · npj Health Systems · 0 citations