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  • Book
    Peter L. Elkin, editor.
    Summary: This set of teaching notes provides extensive guidance for educators related to its sister title and contains numerous tools and questions to help educators provide didactics and evaluation of students in this essential area of biomedical informatics. This is needed to understand the central topics of ontology, terminology and terminological systems in healthcare. Twenty-five years ago the notion that ontology would be essential to knowledge representation in healthcare was all but unknown. Almost all important terminologies and many ontologies are now in wide use and are growing in importance. With no general model of what a ontology and terminology should be, there are an increasing number of tools to support ontology / terminology development, implementation and maintenance. Steady progress since then has improved both ontology / terminology content and the technology and processes used to sustain that content. Terminology, Ontology and their Implementations: Teaching Guide and Notes provides extensive teaching materials to accompany Terminology, Ontology and their Implementations . It provides further definition of the topic and explains the use of reference terminologies needed to use them safely. It contains questions and explanations from each section of the textbook, making it easier to use the text in teaching Health Informatics students. The authors also provide supplementary information about the questions, their relevance and their relation to other concepts. This book augments Terminology, Ontology and their Implementations by assisting the understanding of terminology services and the architecture for terminological servers, and consequently serves as an essential tool for educators in their efforts to teach students in their study of health informatics.

    History of Terminology and Ontology
    Knowledge Representation and the Logical Basis of Ontology
    Theoretical Foundations of Terminology
    Terminology Requirements and Standards Development
    Terminology Design
    Quality Control
    Realism Based Ontology
    What is an ontology?
    Ontology vs. terminology
    Ontology vs. taxonomy
    Ontologies and databases
    Ontology and the Semantic Web
    Ontology in biomedical informatics
    Bad ontologies
    The concept orientation
    Why ontologies so often fail
    Recipes for success
    Examples of successful ontologies and of how they are being used
    The place of Referent Tracking in Biomedical Informatics
    Introduction: what is Referent Tracking (RT)? How does it relate to ontology? What does it aim to achieve? Why does it matter?
    Basic principles: how RT is build on top of three important distinctions made in realism-based ontology: particulars types, continuants occurrents, referents references
    Syntax and semantics of RT-expressions
    RT as a development tool for ontologies
    Using RT to detect and prevent flaws in scientific research and ambiguities and inconsistencies in reports and papers
    RT as a solution for semantic interoperability
    Werner Ceusters
    Bioontology in Service of Translational Science
    Introduction to Bioontologies and the OBO Foundry
    The Gene Ontology
    Overview of GO Content and Structure
    GO annotation
    Term Enrichment/Pathway Analysis
    Success Stories
    Bioontologies and Data Annotation Systems
    Kidney Precision Medicine Project
    GEO and Array Express
    Disease and Phenotype Annotation for Translational Studies
    Use of Ontologies at Mouse Genome Informatics
    HPO and the Monarch Project
    Compositionality: An Implementation Guide
    Interface Terminologies
    RxNorm and NDF-RT and ATC codes
    HCC Codes / Risk Adjustment and MACRA / MIPS
    Nursing Terminologies
    RED / MED
    UMLS Metathesauras and knowledge sources
    Terminological Systems
    HL7 FHIR and APIs
    Lessons Learned and Suggested Research Agenda
    The future of coding and coding systems
    Digital Access Springer 2022