ChatGPT in Trauma Triage

Area of Science:

• Emergency Medicine
• Artificial Intelligence in Healthcare
• Clinical Decision Support

Background:

• Trauma triage is a critical determinant of patient outcomes.
• Current triage methods can be time-consuming and subject to human variability.
• Advancements in artificial intelligence offer potential solutions for enhancing emergency medical services.

Purpose of the Study:

• To evaluate the feasibility and potential utility of ChatGPT for trauma triage.
• To explore how AI can augment the capabilities of healthcare professionals in emergency settings.
• To assess the role of large language models in rapid patient assessment during critical events.

Main Methods:

• A conceptual analysis and review of ChatGPT's capabilities in processing clinical information.
• Simulated scenarios were used to assess ChatGPT's performance in prioritizing trauma patients.
• Comparison of AI-assisted triage suggestions against established trauma scoring systems.

Main Results:

• ChatGPT demonstrated the ability to process and interpret simulated trauma case data.
• AI-driven suggestions aligned with expert-level triage decisions in a significant proportion of cases.
• Potential for AI to reduce triage time and standardize initial assessments was observed.

Conclusions:

• ChatGPT shows promise as a supportive tool in trauma triage systems.
• Integration of AI in emergency medicine could enhance efficiency and potentially improve patient care.
• Further research and clinical validation are warranted to establish AI's role in real-world trauma management.