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.
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Authored by
- INBSI
- PHII
- PHII Informatics Academy
- CSTE
- HL7
- CDC
- ONC
- AIRA
- Altarum
- J Michael Consulting
- Public Health FHIR Implementation Collaborative (CDC/Mitre)
- Public Health Foundation
- SNOMED
- ASTHO
- AuDigitalHealth
- LOINC
- NewSteps
- Sequoia Project
- TN Department of Health
- University of Utah
- (-) APHL
- (-) NIH
- (-) ORISE
Format
Intended Audience
Catalog
Genomics and Precision Public Health Training Course
Presentation
Webinar: Introduction to FHIR for Research
Toolkit
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.
Year released: 2023
Duration: 2 hours 58 minutes
Self-Assessment Tool for Public Health Laboratories
Self Assessment
Allows public health laboratories to assess strengths and gaps in informatics capability by addressing 19 critical operational areas
Introduction to Laboratory Informatics: Life of a Result
Course
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
Year released: 2019
Introduction to the LIMS and other Information Systems
Course
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.
Year released: 2021
Duration: 1:30:00
Health IT Implementation Guide and Toolkit
Toolkit
Guidance for initiating and sustaining this project and outlines steps needed to set up electronic messaging with partners
Introduction to Laboratory Informatics: Life of a Specimen
Course
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.
Year released: 2018
Duration: 2:00:00