Publications

Peer-reviewed papers, conference presentations, and preprints documenting our work on emergency department chart summarization, simulation, and workflow optimization.

AI4ED publications document the project across language-model evaluation, chart summarization, and agentic emergency department simulation. Together, they show how the work is moving from early prototypes and benchmarking toward clinically grounded decision-support research.

Authors: Jiajun Wu, Hutton Ledingham, Zirui Wang, Braden Teitge, Alexander Burn, Oussama Ouadihi, Mohamad Ghattas, Darin Vicaldo, Sergiu Cociuba, Megan Harmon, Tanvir Chowdhury, Zack Marshall, Tyler Williamson, Tracie Risling, Eddy Lang, Jiayu Zhou, Jessalyn Holodinsky, Steve Drew

Introduces an agentic emergency department simulator that combines LLM-driven clinician and patient behavior with data-driven operational modeling for workflow experiments.

Authors: Jiajun Wu, Hanzhe Wei, Braden Teitge, Jessalyn Holodinsky, Kyle Exner, Steve Drew

Demonstrates how clinician-in-the-loop fine-tuning boosts the quality and utility of ED chart summaries.

Authors: Zirui Wang, Jiajun Wu, Braden Teitge, Jessalyn Holodinsky, Steve Drew

Evaluates compact models for ED decision-support tasks, highlighting trade-offs between accuracy, latency, and deployability.

Authors: Jiajun Wu, Swaleh Zaidi, Braden Teitge, Henry Leung, Jiayu Zhou, Jessalyn Holodinsky, Steve Drew

Introduces a two-step summarization pipeline that balances comprehension with speed for frontline clinicians.

Publications

EDSim: An Agentic Simulator for Emergency Department Operations

Fine-tuned large language models guided by physician feedback can improve patient chart summarization for emergency departments

Small Language Models for Emergency Departments Decision Support: A Benchmark Study

Dual-stage and Lightweight Patient Chart Summarization for Emergency Physicians