For more than 30 years, clinicians have relied on UpToDate for evidence-based support. That reliance was built on one idea: when clinicians need guidance, they should have somewhere dependable to turn.
Today, care teams work across increasingly complex workflows, technologies, and care settings. At the same time, healthcare leaders face growing pressure to improve efficiency, support clinicians, manage costs, and navigate the rapid adoption of AI. While AI enables capabilities that were not previously possible, those capabilities only create value when they preserve clinical judgment and expertise, are grounded in evidence-based clinical intelligence, and aligned with organizational goals and realities.
UpToDate is evolving from a clinical reference source into a trusted clinical intelligence platform, helping health systems ensure that evidence, expert judgment, and clinical accountability remain at the center of care as AI scales across the enterprise.
This evolution reflects our continued focus on bringing expert-reviewed evidence closer to the point of care, reducing friction for clinicians, and helping health systems transform information into action.
Unified clinical intelligence that adapts to each organization
Patients have unique needs. Health systems do too. A rural health network may face different access and funding realities than a large academic medical center focused on enterprise AI strategy and governance.
Clinical intelligence should reflect those differences. As organizations move through different stages of digital transformation, they need technology partners that can meet them where they are today while helping prepare for what comes next.
UpToDate offers configurations that allow health systems to choose the capabilities that best align with their priorities, whether that means reliable core integrations, enhanced AI-enabled decision support, or deep workflow embedding across the enterprise. Increasingly, organizations can explore bringing UpToDate expert-driven guidance alongside their own local guidelines to help create the most relevant and actionable insights for their clinicians.
The result is a more personalized approach to clinical decision support, one that meets each organization where it is and scales as needs evolve. Health systems get more value with less complexity and the flexibility to design the experience that fits their teams.
Achieving that kind of flexibility depends on more than configuration options. It also requires bringing evidence-based guidance directly into the places where care teams make decisions every day.