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.

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.

A set of interactive gools to conduct self-assessments at a public health agency. Covers both informatics and interoperability.

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

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.

Four template job descriptions covering Executive, Management, Clinical and Professional roles. These may be a good starting point for putting together job descriptions for your program.

Readiness assessment designed to increase state birth defects program capability to exchange electronic health information with clinical electronic health records systems (EHRs).