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.

Surveillance modernization efforts emphasize the potential use of electronic health record (EHR) data to inform public health surveillance and prevention. However, EHR data streams vary widely in their completeness, accuracy, and representativeness. This publication describes a validation process developed by the Multi-State EHR-Based Network for Disease Surveillance (MENDS) pilot project to identify and resolve data quality issues that could affect chronic disease prevalence estimates.

Evaluation in the context of public health informatics and discuss why evaluation is necessary

Definition and value proposition for Public Health informatics