7 papers
Examine Clinicians' Modification of Hedging Language in Ambient AI Documentation: A Comparative Study of AI Drafts and Final Notes
Yiliang Zhou, Yawen Guo, Di Hu +6
Ambient AI documentation systems generate clinical note drafts that clinicians frequently revise before signing off into electronic health records, yet how these edits alter hedgin…
We Need Granular Sharing of De-Identified Data-But Will Patients Engage? Investigating Health System Leaders' and Patients' Perspectives on A Patient-Controlled Data-Sharing Platform
Xi Lu, Di Hu, An T. Nguyen +6
Patient-controlled data-sharing systems are increasingly promoted as a way to empower patients with greater autonomy over their health data. Yet it remains unclear how different st…
Supporting Patients in Managing Electronic Health Records and Biospecimens Consent for Research: Insights from a Mixed-Methods Usability Evaluation of the iAGREE Portal
Di Hu, Xi Lu, Yunan Chen +6
De-identified health data are frequently used in research. As AI advances heighten the risk of re-identification, it is important to respond to concerns about transparency, data pr…
Data Guard: A Fine-grained Purpose-based Access Control System for Large Data Warehouses
Khai Tran, Sudarshan Vasudevan, Pratham Desai +10
The last few years have witnessed a spate of data protection regulations in conjunction with an ever-growing appetite for data usage in large businesses, which presents significant…
Understanding Stigmatizing Language Lexicons: A Comparative Analysis in Clinical Contexts
Yiliang Zhou, Di Hu, Tianchu Lyu +4
Stigmatizing language results in healthcare inequities, yet there is no universally accepted or standardized lexicon defining which words, terms, or phrases constitute stigmatizing…
When AI Writes Back: Ethical Considerations by Physicians on AI-Drafted Patient Message Replies
Di Hu, Yawen Guo, Ha Na Cho +7
The increasing burden of responding to large volumes of patient messages has become a key factor contributing to physician burnout. Generative AI (GenAI) shows great promise to all…