You are tasked with redesigning the user interface of an AI-powered patient triage system that is experiencing high user error rates among non-technical staff. How would you approach improving the user interaction to enhance accuracy, ensure clarity in AI recommendations, and balance technical constraints with user needs?

Use the CIRCLES framework to systematically address user errors, clarify AI recommendations, and align technical feasibility with user needs. Begin by clarifying the problem, identifying user pain points, reporting findings, cutting unnecessary complexity, listing prioritized solutions, evaluating trade-offs, and summarizing actionable steps.

To redesign the triage system, I’d start by creating personas (e.g., a nurse with limited tech experience) and map their workflows. Key metrics would include error rates, time to triage, and user satisfaction. Prioritize simplifying the interface: replace jargon with plain language, use color-coded urgency indicators, and add tooltips for AI recommendations. Implement a step-by-step workflow with mandatory confirmation steps for critical decisions. Integrate a ‘confidence score’ for AI suggestions to build trust. Balance technical constraints by collaborating with developers to ensure real-time data processing and minimal latency. Test with non-technical staff via A/B testing, focusing on high-error scenarios. Metrics like 30% error reduction and 20% faster triage times would validate success. Training modules and in-app guidance would further reduce errors.