Objective Emergency Triage Using Automated Severity Classification
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Solution Overview
Problem
Existing triage systems face challenges in quickly classifying patient severity in emergency situations using objective information, especially when dealing with large numbers of patients and limited personnel, necessitating a system that can accurately prioritize treatment without relying on subjective patient data.
Innovation Solution
An emergency patient objective severity classification system and method that utilizes a basic information unit, hospital visitation information unit, and symptom unit to acquire and distinguish objective data, automatically classifying severity based on criteria such as vital signs and symptoms, using a severity classification unit to determine KTAS grades.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual triage classification is performed by medical personnel, then subjective patient information can be considered, but the classification process becomes time-consuming and inefficient when dealing with large numbers of patients
Solution Approach 1:
The patent replaces the manual mechanical triage process performed by medical personnel with an automated computer-based system that uses algorithms to classify patients. The system automatically processes patient data and generates triage classifications without requiring manual intervention, thereby reducing triage time while maintaining classification accuracy through objective criteria and standardized algorithms.
Solution Approach 2:
The system enables patients to self-report symptoms and vital signs through user interfaces, allowing them to input their own information without requiring medical personnel assistance. This self-service approach accelerates data collection and reduces the time burden on medical staff while ensuring comprehensive patient information is captured for accurate triage classification.
2Adaptability or versatility
If subjective patient information is included in triage classification, then comprehensive patient assessment is possible, but the classification becomes less objective and more difficult to standardize
Solution Approach 1:
The patent segments patient information into distinct categories: objective data (vital signs, laboratory results, imaging findings) and subjective data (patient-reported symptoms). The system prioritizes objective information for triage classification while systematically collecting subjective information for supplementary assessment. This segmentation maintains classification objectivity while preserving comprehensive assessment capabilities.
Solution Approach 2:
The system transforms subjective patient symptoms into quantifiable parameters through standardized scoring systems and clinical scales. By converting qualitative subjective information into measurable parameters, the system maintains objectivity and reliability in classification while still incorporating comprehensive patient assessment data.
3Measurement precision
If detailed patient information is collected for accurate classification, then classification accuracy improves, but the data collection process becomes more complex and time-consuming
Solution Approach 1:
The patent implements a universal data collection platform that handles multiple types of patient information (demographics, vital signs, symptoms, laboratory results, imaging data) through a single integrated system. This multi-functional platform simplifies the data collection process by providing standardized interfaces and automated data aggregation, reducing complexity while enabling comprehensive and accurate triage classification.
Data Source
AI summary
Disclosed are an emergency patient objective triage system and method, the system comprising: a basic information unit that obtains data related to basic information of a patient; a visiting information unit that obtains data related to objective visiting information measured in relation to the patient; a symptom unit that distinguishes between subjective information and objective information according to a pre-determined criterion in relation to a main symptom of the patient, and obtains data related to the objective information; and a triage unit that automatically classifies severity of an emergency patient on the basis of at least the data obtained by the visiting information unit from among the pieces of data obtained by the basic information unit, the visiting information unit, and the symptom unit.