• Evaluate AI-generated responses for accuracy, completeness, and alignment with real-world healthcare operations. • Review scenarios involving electronic health records (EHRs), clinical documentation, care coordination, scheduling, referrals, revenue cycle, and patient access workflows. • Assess AI outputs for consistency with healthcare regulations, industry standards, and operational best practices. • Apply structured evaluation guidelines to annotate model responses and identify errors, omissions, and opportunities for improvement. • Provide clear, actionable feedback that helps improve AI performance across complex healthcare workflows. • Evaluate AI handling of interoperability, health information exchange, and healthcare data management concepts. • Bring your real-world experience to help shape safer, more trustworthy AI systems for healthcare.