TL;DR
This design science study introduces NAOMI (Neural Assistant for Optimized Medical Interactions), an AI agent built on GPT-4 to optimize clinical triage, patient management, and decision-making.
What did Hor et al. do?
Utilized specialized prompts (rather than custom model training) to reduce the mental workload of general practitioners in diagnosing and prioritizing patient care using NAOMI.
After initial creation, they conducted 80 simulated consultations to evaluate and improve NAOMI (practicing GPs reviewed each scenario output to confirm that NAOMI's reasoning was consistent with standard GP practice).
Outcome
Key Design Principles for this Paper:
Comprehensive Data Collection & Analysis: Enhance diagnostic precision through systematic data gathering.
Clinical Reasoning Transparency: Build trust and ease integration by providing clear explanations of AI-assisted clinical reasoning.
Adaptive Triage & Risk Assessment: Dynamically assess patient risk and optimize triage decisions.