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.

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

This document is a companion to Section 1D of the Building Blocks Guide. It describes the steps required for HL7 message definition and provides additional information on the tools and topics discussed in the Guide, including the Implementation Workbook and the Message Validation Template.

Healthcare organizations have many reasons for bulk-data export, such as populating a data warehouse for operational or clinical analytics, leveraging population health and decision support tools from external vendors, and submitting data to registries and regulatory agencies. Today, bulk export is often accomplished with proprietary pipelines, and data transfer operations frequently involve an engineering and field mapping project. Learn about an exciting new effort by SMART and HL7 to bring the FHIR standard to bear on these challenges of bulk-data export.

In this presentation, we will be introducing the different HL7 product families that are used to exchange clinical data.

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

Definition and value proposition for Public Health informatics