Northwestern Medicine and Tempus AI, Inc. (NASDAQ: TEM) have announced a significant advancement in their ongoing partnership, with Northwestern becoming the first health system to integrate David, Tempus’ generative AI clinical co-pilot, directly into its electronic health record (EHR) platform. This integration will empower Northwestern’s clinical care teams with real-time, AI-driven insights during patient encounters, enhancing decision-making and streamlining workflows. David is designed to assist physicians and care providers by synthesizing patient data from across the EHR—such as medical history, lab results, imaging reports, and treatment plans—into concise, actionable summaries. The tool can also generate clinical documentation, suggest evidence-based treatment options, and flag potential risks or gaps in care, all while operating within the secure, compliant framework of the EHR. The collaboration builds on a long-standing relationship between Northwestern Medicine and Tempus, which has already leveraged AI and data analytics to improve cancer care, precision medicine, and clinical research. With this new integration, the focus expands to broad clinical operations across specialties, aiming to reduce clinician burnout, improve care coordination, and support more personalized treatment plans. By embedding David directly into the EHR, Northwestern Medicine is positioning itself at the forefront of AI adoption in healthcare, ensuring that AI tools are not just accessible but seamlessly integrated into the daily routines of clinicians. The goal is to enhance both efficiency and patient outcomes without disrupting established workflows. Tempus emphasized that David is developed with rigorous attention to data privacy, regulatory compliance, and clinical validation. The system is designed to support, not replace, physicians, ensuring that final decisions remain in the hands of trained medical professionals. Northwestern Medicine leaders highlighted the initiative as a transformative step in their mission to deliver high-quality, data-driven care. The integration is being rolled out in phases across the health system, with initial deployment focused on oncology and primary care teams, with plans to expand to additional specialties. This milestone underscores the growing role of generative AI in healthcare and sets a new benchmark for how leading institutions can responsibly adopt AI to improve clinical workflows and patient outcomes.