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 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.

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