Itai Weiss

Industry-standard data formats can streamline data exchange, but they come with significant complexity and can seem ‘impossible’. One example is FHIR (Fast Healthcare Interoperability Resources), the healthcare data standard with a broad scope of 180 entities. With its widespread adoption, FHIR promises to speed delivering insights to improve patient experiences, optimize operations, and drive better outcomes. Yet working with FHIR data is no small task. Its complexity and extensions push it beyond the reach of most analysts. Instead, it lands on data engineers, who must load, transform, and keep up with changes. This creates bottlenecks, slows down insights, and places a heavy maintenance burden on already backlogged data engineering teams. Learn how to tame FHIR for analysts - if you want to speed time-to-insight, reduce engineering effort, and enable true cross-functional collaboration on industry-specific data - this is a session you don’t want to miss.