Literature DB >> 29295238

Interface Terminologies, Reference Terminologies and Aggregation Terminologies: A Strategy for Better Integration.

Stefan Schulz1, Jean-Marie Rodrigues2, Alan Rector3, Christopher G Chute4.   

Abstract

The time has come to end unproductive competitions among different types of biomedical terminology artefacts. Tools and strategies to create the foundation of a seamless environment covering clinical jargon, clinical terminologies, and classifications are necessary. Whereas language processing relies on human interface terminologies, which represent clinical jargon, their link to reference terminologies such as SNOMED CT is essential to guarantee semantic interoperability. There is also a need for interoperation between reference and aggregation terminologies. Simple mappings between nodes are not enough, because the three kinds of terminology systems represent different things: reference terminologies focus on context-free descriptions of classes of entities of a domain; aggregation terminologies contain rules that enforce the principle of single hierarchies and disjoint classes; interface terminologies represent the language used in a domain. We propose a model that aims at providing a better flow of standardized information, addressing multiple use cases in health care including clinical research, epidemiology, care management, and reimbursement.

Entities:  

Keywords:  Dictionaries as Topic; Knowledge Bases; Terminology as Topic

Mesh:

Year:  2017        PMID: 29295238

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  8 in total

1.  Building a Graph Representation of LOINC® to Facilitate its Alignment to French Terminologies.

Authors:  Jean Noel Nikiema; Fleur Mougin; Vianney Jouhet
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

2.  Integrating an Ontology of Radiology Differential Diagnosis with ICD-10-CM, RadLex, and SNOMED CT.

Authors:  Ross W Filice; Charles E Kahn
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

Review 3.  Overview of ICD-11 architecture and structure.

Authors:  Christopher G Chute; Can Çelik
Journal:  BMC Med Inform Decis Mak       Date:  2022-05-16       Impact factor: 3.298

4.  Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings.

Authors:  Guan N Guo; Jitendra Jonnagaddala; Sanjay Farshid; Vojtech Huser; Christian Reich; Siaw-Teng Liaw
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

5.  Qualitative analysis of manual annotations of clinical text with SNOMED CT.

Authors:  Jose Antonio Miñarro-Giménez; Catalina Martínez-Costa; Daniel Karlsson; Stefan Schulz; Kirstine Rosenbeck Gøeg
Journal:  PLoS One       Date:  2018-12-27       Impact factor: 3.240

6.  Annotation and initial evaluation of a large annotated German oncological corpus.

Authors:  Madeleine Kittner; Mario Lamping; Damian T Rieke; Julian Götze; Bariya Bajwa; Ivan Jelas; Gina Rüter; Hanjo Hautow; Mario Sänger; Maryam Habibi; Marit Zettwitz; Till de Bortoli; Leonie Ostermann; Jurica Ševa; Johannes Starlinger; Oliver Kohlbacher; Nisar P Malek; Ulrich Keilholz; Ulf Leser
Journal:  JAMIA Open       Date:  2021-04-19

7.  Collecting specialty-related medical terms: Development and evaluation of a resource for Spanish.

Authors:  Pilar López-Úbeda; Alexandra Pomares-Quimbaya; Manuel Carlos Díaz-Galiano; Stefan Schulz
Journal:  BMC Med Inform Decis Mak       Date:  2021-05-04       Impact factor: 2.796

8.  Aligning an interface terminology to the Logical Observation Identifiers Names and Codes (LOINC®).

Authors:  Jean Noël Nikiema; Romain Griffier; Vianney Jouhet; Fleur Mougin
Journal:  JAMIA Open       Date:  2021-06-12
  8 in total

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