Catalog

Introduction to Interoperability, Standards and the Role of the Public Health Domain expert

Published ONC data briefs on a variety of interoperability topics.

These FHIR Fact Sheets are a collaborative effort to help educate and demystify FHIR. These fact sheets summarize the key technical concepts that make up the foundation of FHIR, how it is developed in an open and public process, and why FHIR adoption has become the focus of the health IT standards world.

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

Training modules around the Stage 2 Meaningful Use (MU) Rule to train Eligible Professional (EPs) and Critical Access Hospitals (CAHs) on how to implement new standards

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

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.

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

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.