Catalog

This guide provides an interactive learning opportunity to address the challenges faced by data modernization teams in implementing data governance. While originally developed for data modernization teams, the principles and tools in this guide can be applied more broadly to data governance projects throughout public health.

Describes some of the key principles related to information governance at public health agencies.

This set of documents covers some computer science basics that for the foundation of interoperability including networks, transport protocols and other fundamental topics.

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.