Education Catalog

This webinar explores how AI can accelerate the creation and maintenance of clinically governed value sets and how those high-quality value sets, in turn, strengthen the accuracy and trustworthiness of AI-driven healthcare workflows.

Artificial intelligence is now a strategic priority and a clinical trust challenge. For healthcare organizations, success depends not only on which AI models they deploy, but on whether the enterprise data foundation behind those models is trusted, governed, contextualized, workflow-integrated, and fit for purpose. This webinar will explore how health [...]

Today, medical discovery advances one clinical trial at a time, each taking years to execute and often costing $100 million or more. As we enter the era of precision health in which we recognize that “one size doesn't fit all” and thus try to tailor treatments for each individual, continuing [...]

The sustainable and responsible integration of artificial intelligence (AI)into healthcare requires not only advanced technology but also a workforce equipped to develop, deploy, and oversee these tools. While considerable attention ha been devoted to pilot projects and implementation pathways for AI systems, a significant gap remains in preparing clinicians, researchers [...]

The Centers for Medicare & Medicaid Services (CMS) has introduced a bold new framework built on collaboration, not just compliance. The CMS Health Technology Ecosystem calls on the entire healthcare industry, data networks, EHR systems, health app developers, providers, and innovators, to voluntarily align around a shared vision for data [...]