When our care coordination team first proposed integrating generative AI into our patient workflows three years ago, I'll admit I was skeptical. After two decades in patient care services, I'd seen countless technology promises fall short when they met the reality of clinical environments. Yet today, as I reflect on our journey with Generative AI Patient Care, I recognize it as one of the most transformative initiatives I've witnessed in modern healthcare delivery. The lessons we learned—through missteps, breakthroughs, and unexpected outcomes—have fundamentally reshaped how we think about care coordination, clinical decision support, and patient engagement. Our implementation story isn't unique, but it's instructive. Like many health systems inspired by the patient-centered models at Cleveland Clinic and Mayo Clinic, we were grappling with fragmented patient data, clinician burnout, and the constant pressure to improve outcomes while managing costs. The promise of ...