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.

In the LOINC Primer for Newborn Screening we provide an introduction to LOINC, with a focus on its applications in the newborn screening space. We review how LOINCs are made, how to find the right code for your specific test, and a few cases of what not to do.

This presentation reviews the history of the laboratory orders (LOI) and results (LRI) implementation guides in general, some of the common aspects shared between them and how these standards are used together

This presentation discusses how the laboratory orders (LOI) and results (LRI) implementation guides are written and some of the ways they are different from other v2 standards.

This presentation discusses how the values sets used by the laboratory orders (LOI) and results (LRI) implementation guides are documented.

This presentation describes the use cases encompassed by the laboratory orders (LOI) implementation guide and details some of the unique features of the profiles defined in the standard.

This presentation describes the use case encompassed by the laboratory results (LRI) implementation guide and details some of the unique concepts in the standard including snapshot mode and parent-child linkages

This presentation describes some of the technical constraints included in the profiles used by the laboratory results (LRI) implementation guide.

A short history of experience in recording clinical ideas in computer systems over the past forty years. This sets the context for the requirements associated with the adoption and development of SNOMED CT.

This presentation provides general information about the background and nature of SNOMED CT.

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

This two-part presentation 1)provides content on: the History of LOINC as an organization and a community of users; a definition of LOINC and LOINC code basics; the LOINC concept model; the six LOINC axeses; and resources for learning more about LOINC. 2) an overview of a typical mapping project using LOINC.

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

Definition and value proposition for Public Health informatics

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.

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.