Emergency departments (EDs) operate under time pressure, generating multimodal data such as clinical conversations, triage notes, and discharge documents. Recent advances in natural language processing (NLP), particularly pretrained transformers and large language models, have created new opportunities to support langu...
Dipankar Srirag, Aditya Joshi, Salil S. Kanhere et al.· 1 citation
A methodology is implemented for evaluating large language models on sequential triage, the task of predicting a triage acuity label from a growing prefix of a nurse-patient conversation, which shows that the label at every checkpoint is anchored on the chief complaint exchanges, and prompting interventions fail to lif...
Dipankar Srirag, Hao-Kai Zhao, Ashutosh Kumar et al.· 0 citations
GuardianAgent, a policy-conditioned anonymization framework that couples structured risk assessment with verified adaptive rewriting, achieves the strongest privacy-utility trade-off among published baselines and is the only method to reach more than 0.90 privacy in all three domains, remaining robust under a backbone...
Rui-Yi Yang, Gayathri Lihinikaduarachchi, Rahat Masood et al.· 0 citations
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