Catalog

Genomics, and precision health approaches such as big data science and machine learning have emerged as important tools for public health. Those entering the public health and medical workforces must keep pace with these evolving fields to maximize the benefit to public health. Recognizing this need, ORISE is partnering with the Office of Genomics and Precision Public Health at the CDC to offer a two-day enrichment event covering the latest developments in these fields. The course is a series of 15-60 minute lectures, grouped by topic, with learning objectives for each lecture.

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.

Reframing Public Health Informatics is a collection of evidence-based framing recommendations and sample communications designed to help the public health workforce talk about informatics—what it is, how it works, and why its contributions are so important to achieving the goal of improved population health.

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.

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.

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