Catalog

This set of documents covers some computer science basics that for the foundation of interoperability including networks, transport protocols and other fundamental topics.

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

This on-demand course provides an in-depth review of HL7 v2.5.1 unsolicited vaccination record update (aka VXU) messages and how they are used to exchange immunization information between immunization information systems (IIS) and other health information systems.

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.

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

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

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

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