Emergency Department Patient Flow With Multi-Agent LLM Triage
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Solution Overview
Problem
Emergency departments face challenges such as overcrowding, delayed patient care, incomplete patient data, and suboptimal triage due to limited time, leading to inefficiencies and potential misdiagnosis.
Innovation Solution
A computerized system integrating multi-agents LLM (Large Language Model) for patient flow management, including agents for medical history extraction, anamnesis, examination recommendation, and decision-making, to provide rapid and accurate patient care.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If physicians manually collect and organize patient medical history and data in emergency department, then complete and accurate patient information can be obtained, but it requires significant time and increases physician-computer time, reducing physician-patient time
Solution Approach 1:
The system enables self-service by allowing the computer system to automatically collect, organize, and structure patient medical history data from multiple sources without requiring physician intervention. The system autonomously retrieves data from electronic health records, laboratory systems, and imaging systems, then presents synthesized information to physicians, thereby eliminating manual data gathering while preserving information completeness.
Solution Approach 2:
The patent replaces the mechanical manual process of data collection with an automated information system. Instead of physicians manually searching and organizing patient data, the system uses automated data retrieval, natural language processing, and information synthesis to gather and present medical history, laboratory results, and imaging findings, substituting human effort with computational processes.
2Reliability
If physicians spend more time on triage and patient assessment, then diagnostic accuracy improves, but patient flow through the emergency department slows down
Solution Approach 1:
The system performs preliminary actions by automatically gathering and organizing patient data, generating structured summaries of medical history, and preparing diagnostic information before the physician begins assessment. This pre-processing of information allows physicians to immediately engage in high-value diagnostic reasoning without time-consuming data collection, thereby maintaining diagnostic accuracy while accelerating patient flow.
Solution Approach 2:
The system acts as an intermediary between raw medical data and the physician's diagnostic process. It retrieves data from multiple sources, synthesizes information, and presents organized clinical summaries that facilitate rapid yet accurate decision-making. This intermediary function bridges the gap between data availability and diagnostic needs, enabling both speed and accuracy.
3Reliability
If emergency department increases staff and resources to handle overcrowding, then patient care quality improves, but operational costs and system complexity increase
Solution Approach 1:
The system exhibits multi-functionality by performing multiple tasks within a single integrated platform: data retrieval from various sources, information synthesis, diagnostic support, treatment recommendation generation, and documentation. This universal system replaces multiple separate tools and processes, improving care quality without proportionally increasing system complexity or resource requirements.
Solution Approach 2:
The patent merges previously separate functions into a unified system. Instead of having separate systems for data retrieval, analysis, documentation, and decision support, the invention integrates these functions into a single coherent platform that processes patient information end-to-end, thereby improving operational efficiency without linearly increasing complexity.
4Reliability
If emergency department implements comprehensive patient assessment protocols, then misdiagnosis rate decreases, but examination time and resource utilization increase
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring patient data, comparing findings against diagnostic criteria, and updating assessments as new information becomes available. This dynamic feedback process ensures comprehensive evaluation without requiring linearly increasing examination time, as the system adapts its information gathering based on emerging clinical picture and risk stratification.
Data Source
AI summary
Provided herein are computerized system and method for full patient flow management through an emergency department process, integrating multi-agents LLM. The system and method utilize a plurality of LLM-based agents configured to perform one or more of: extract relevant medical information and generate a summarized medical history; interactively questioning the subject regarding its medical history and regarding the main complaint(s); provide recommendations regarding various medical examinations; process the summarized medical history and the results of the recommended medical examination(s) and; provide further summary, recommendations or instructions, regarding diagnosis and a decision regarding discharge or admission of the subject.