Catalog

Informatics in plain language using analogies to logistics, architecture, and translation

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

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.

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.

This course provides information on the role and processes of laboratory informatics through exploration of the “life of a specimen” as a specimen moves through the laboratory. Topics covered include the roles of various personnel in the laboratory informatics enterprise, data relationships, data quality, and standards, and the generation and flow of information as a specimen progresses through the pre-analytic, analytic, and post-analytic phases.

This basic-level eLearning course provides an overview of the Laboratory Information Management System (LIMS) – also known as a Laboratory Information System – and other information systems that play a key role in laboratory informatics. Included in the course are explorations of LIMS functionality, the role of the LIMS in interoperability, various regulations and standards regarding information systems and laboratory data, and the steps in implementing a LIMS.

This course provides information on the role and processes of laboratory informatics through exploration of the “life of a result” as data and results move through the laboratory and outside the laboratory. Topics covered include characterization of the recipients of laboratory data, data and results storage, and the communication of data and results (especially electronically) to various stakeholders

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.

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.

Allows public health laboratories to assess strengths and gaps in informatics capability by addressing 19 critical operational areas

Guidance for initiating and sustaining this project and outlines steps needed to set up electronic messaging with partners