FireForm is a tool to streamline documentational overhead for emergency departments.
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Updated
Aug 31, 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.
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.
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.
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.
Individual final-year dissertation project (80%) at King’s College London: a Java agent-based model of Emergency Department patient flow and operations.
Wesleyan DataFest 2026 (Team 13): An analysis of 7.6 million hospital visits showing that patients without reliable transportation are 3 times more likely to visit the emergency room.
FireForm is a tool to streamline documentational overhead for emergency departments.
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.
Agentic AI control tower for ER wait-time forecasting, nurse staffing recommendations, human approval, and audit logging.
Enterprise Power BI dashboard for Emergency Department (ED) analytics featuring patient flow, throughput, wait times, clinical quality, resource utilization, operational KPIs, and executive healthcare reporting.
Emergency Department triage command center. Ranks patients by ESI acuity, detects red flags, tracks breach timing, and separates AI recommendations from nurse overrides.
Analysis into Paediatric Mental Health related ED attendances and admissions across CMAST providers.
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