Catalog

Exploration of conformance, constraints, and message profiles

Immunization Evaluation and Forecasting; how it works, how forecasting functionality is implemented, and how the rules are maintained/tested in an IIS

Part of Fundamentals of IIS series along with Data Quality and Interoperability. Goes over the HL7 V2 standard, why it's used for immunization messaging, what the impacts are on IIS, and IIS responsibilities related to HL7.

Part of Fundamentals of IIS series along with Interoperability and HL7 Basics. Goes over key concepts related to the characteristics of IIS data quality, how it's measured, examples of issues, and strategies for improvements.

Part of Fundamentals of IIS series along with Data Quality and HL7 Basics. Goes over the concepts of data exchange between IIS and other systems.

This on-demand course provides an in-depth review of HL7 v2.5.1 unsolicited vaccination record update (aka VXU) messages and how they are used to exchange immunization information between immunization information systems (IIS) and other health information systems.

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.

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.

The Data Modernization Planning Toolkit supports Epidemiology and Laboratory Capacity (ELC) for Prevention and Control of Emerging Infectious Diseases recipients in planning data modernization ventures at health departments. This guide will help build leadership and partner buy-in for data modernization work and assist health departments in developing plans that prioritize data modernization activities.