A Step-by-Step Implementation Guide for Care Coordination Teams After spending two years helping our health system implement AI-powered tools across care coordination and chronic disease management workflows, I've learned that successful deployment depends less on the technology itself and more on how you integrate it into existing clinical operations. This guide walks through the practical steps we used to move from pilot to production. The promise of Generative AI Patient Care is compelling: automated clinical documentation, personalized patient outreach, synthesized care plans that would take hours to create manually. But getting from concept to measurable impact requires a structured approach that addresses data integration, clinical validation, and change management simultaneously. Step 1: Identify Your Highest-Impact Use Case Don't start by asking "What can AI do?" Start with your most painful operational bottleneck. For us, it was case management for patients with multiple chronic conditions.…