System and method for determining triage categories
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Accurate triage of trauma patients in pre-hospital settings is challenging due to variability in checklists across regions, limited criteria used, and a high over triage rate, leading to inappropriate care and resource misallocation.
Innovation Solution
A computer model is developed using historical patient data to determine triage categories, employing ensemble classifiers like random forest to process multiple patient attributes, reducing over triage while maintaining under triage rates, and tailored to specific geographic regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional checklist methods are used for triage, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent replaces the mechanical checklist system with a computerized model that processes patient data automatically. The system uses a trained model (such as random forest, neural network, or other machine learning algorithms) to analyze multiple patient attributes and generate triage category recommendations, substituting human judgment based on checklists with automated computational analysis that provides more precise and consistent categorization.
2Measurement precision
If more criteria are used for triage assessment, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal computerized triage system that can handle multiple types of patient attributes (demographics, vital signs, injury characteristics, mechanism of injury) through a single integrated model. The trained model is designed to process diverse input data types uniformly, allowing the system to incorporate comprehensive criteria without proportionally increasing operational complexity, as the model automatically weighs and integrates all relevant factors.
3Measurement precision
If computerized models with multiple variables are used, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements a self-service triage system where the computerized model automatically performs the complex analysis of multiple patient variables without requiring manual intervention. The system autonomously processes input data, applies the trained model, and generates triage category recommendations, freeing operators from manually evaluating numerous criteria while maintaining high precision through automated multi-variable analysis.
Data Source
AI summary
Embodiments disclosed herein provide a system, method, and computer program product for providing a triage classification system. The triage classification system uses a computer model that is developed using historical patient data. The developed computer model is applied to collected patient attribute data from a patient in a pre-hospital setting to generate a triage category. Based on the generated triage category, health care professionals can take desired actions, such as transporting the patient to a facility matching the generated triage category.