MIMIC-IV-Ext Triage Instruction Corpus

Emergency department (ED) overcrowding leads to delayed care, increased
patient risk, and inefficient resource use. The MIMIC-IV-Ext Triage
Instruction Corpus (MIETIC) addresses this by providing 9,629 structured
triage cases from MIMIC-IV, aligned with the Emergency Severity Index (ESI).

MIETIC supports large language model (LLM) training for AI-assisted triage,
improving accuracy, consistency, and risk assessment. The dataset includes
chief complaints, vital signs, demographics, and medical history, ensuring
realistic triage decision-making. Developed through automated quality control
and expert validation, MIETIC enhances model performance in high-risk and
moderate-risk classification.

Available in CSV formats, MIETIC enables research in clinical NLP, AI-driven
triage, and decision-support tools. The dataset module includes:

1. Structured triage cases with ESI labels.
2. Triage case generation prompts for instruction tuning.
3. Expert-validated samples for quality control.
4. SQL scripts for data extraction and validation, hosted on GitHub.

MIETIC provides a standardized, reproducible dataset to advance AI-driven
emergency triage, optimizing accuracy, efficiency, and resource allocation.