Catalog

Introduction to FHIR for Research is a three-hour training course that aims to provide NIH research scientists and program officers with an understanding of how FHIR could impact their research, and how they can take advantage of it. This webinar covers the background and context of FHIR, what data and tools are available, and examples of research using FHIR. It is broken into three parts:

Part 1: Background and Context of FHIR
This section provides essential background and context on FHIR, including the history and evolution of the standard, its relation to similar frameworks, and its components and data structure.

Part 2: The FHIR Ecosystem
After discussing FHIR background, we'll next turn to discussing the broader ecosystem of FHIR systems and capabilities practitioners can hope to leverage. This section will explore the extent of systems, tools, and applications available to users.

Part 3: Working with FHIR
We will now explore a detailed set of applications for FHIR starting with a sampling of recent FHIR uses in both industry and academia. We will then provide a series of case studies leveraging both Python and R to demonstrate how FHIR can be used to extract and utilize medical data.

Healthcare organizations have many reasons for bulk-data export, such as populating a data warehouse for operational or clinical analytics, leveraging population health and decision support tools from external vendors, and submitting data to registries and regulatory agencies. Today, bulk export is often accomplished with proprietary pipelines, and data transfer operations frequently involve an engineering and field mapping project. Learn about an exciting new effort by SMART and HL7 to bring the FHIR standard to bear on these challenges of bulk-data export.