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.

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.

Learn the difference between eCR and traditional case reporting. See how eCR is a faster process to receive and send more complete data.

The interoperability of data, and delivery of a consistent level of data quality, are critical factors in the National Digital Health Strategy – both for quality of immediate care, and for the development of longer-term health strategies. This is the first of a three-part webinar series looking at interoperability and clinical terminologies, with a particular focus on the Fast Healthcare Interoperability Resources (FHIR), a key standard for interoperable data in Australia.

Definition of the knowledge, skills, and abilities of those working in the discipline