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arXiv · 2508.00328

From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations

Shuning Zhang·Ying Ma·Yongquan `Owen' Hu·Ting Dang·Hong Jia·Xin Yi·Hewu Li
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Abstract

Online medical consultation platforms, while convenient, are undermined by significant privacy risks that erode user trust. We first conducted in-depth semi-structured interviews with 12 users to understand their perceptions of security and privacy landscapes on online medical consultation platforms, as well as their practices, challenges and expectation. Our analysis reveals a critical disconnect between users' desires for anonymity and control, and platform realities that offload the responsibility of ``privacy labor''. To bridge this gap, we present SafeShare, an interaction technique that leverages localized LLM to redact consultations in real-time. SafeShare balances utility and privacy through selectively anonymize private information. A technical evaluation of SafeShare's core PII detection module on 3 dataset demonstrates high efficacy, achieving 89.64\% accuracy with Qwen3-4B on IMCS21 dataset.

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Shuning Zhang, Ying Ma, Yongquan `Owen' Hu, Ting Dang, Hong Jia, Xin Yi, Hewu Li. 2025-08-01. From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations. https://arxiv.org/abs/2508.00328

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