FireForm is a tool to streamline documentational overhead for emergency departments.
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Updated
Jun 27, 2026 - Python
FireForm is a tool to streamline documentational overhead for emergency departments.
Resgrid Dispatch is a dedicated application for dispatchers to create and manage calls\incidents and unit responses for users of the Resgrid system
A streamlit app (running from github pages using the stlite package) for teaching concepts of discrete event simulation, including animated entity flow plots created in Plotly
An Agentic Simulator for Emergency Department Operations
Open-source medical LLM safety evaluation pipeline with reproducible benchmarks and high-risk clinical failure analysis.
Machine learning model to predict emergency room outcomes using MIMIC-IV-ED data.
Characteristics and waiting time prediction for patients in the pediatric emergency department
A real-time, cross-platform emergency reporting system for Unisan citizens and agencies.
Emergency Department (ED) Simulation is a Java-based project designed to model and optimize patient flow, resource management, and triage prioritization in hospital emergency departments. Using OOP principles and probabilistic models, this simulation aims to improve efficiency and decision-making in ED operations.
Individual final-year dissertation project (80%) at King’s College London: a Java agent-based model of Emergency Department patient flow and operations.
FireForm is a tool to streamline documentational overhead for emergency departments.
Healthcare operations intelligence case study focused on emergency department optimization, patient flow redesign, and avoidable ED utilization using large-scale encounter, provider, and SDOH analytics.
FireForm is a tool to streamline documentational overhead for emergency departments.
Analysis into Paediatric Mental Health related ED attendances and admissions across CMAST providers.
One of the top solutions for The 2019 DII National Data Science Challenge: https://sbmi.uth.edu/dii-challenge/. More details in the paper "An interpretable deep-learning model for early prediction of sepsis in the emergency department", published on Patterns 2021.
Quarto/Python code for a MIMIC-IV hypercapnia chief complaint NLP study
simulation, queuing algorithms, data processing and modeling
Reproducibility repository for the PeerJ Computer Science article on multimodal prediction of IV fluid utilization in emergency care.
Reproducibility repository for the Journal of Personalized Medicine article on predicting EKG use in emergency care.
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