Fragmented to connected: Reimagining clinical workflows with AI

With patient data scattered across disconnected systems, clinicians and care teams are forced to spend countless hours in an attempt to understand patient history. Care stays reactive, gaps go undetected, and the best next step isn't always clear. AI promises to change that, but only if it's applied in ways that are practical, trustworthy, and genuinely useful to physicians and care teams. This webinar looks at how clinical workflows can move from fragmented, reactive tasks toward a more connected model, one that turns disparate data into a complete picture, and generates valuable insights that are effortlessly converted into coordinated action across the care team. A panel of practicing physicians and clinical AI leaders discuss where AI is delivering today, where it's falling short, and what coordinated, proactive care actually looks like day to day. Key Takeaways: 1. A practical framework for evaluating clinical AI across the full arc of data, insight, and action 2. An understanding of what separates evidence-based, clinically grounded AI from generic tools 3. Practical considerations for adopting AI in ways that drive coordinated action, support clinical judgment, and fit seamlessly into clinical workflows