Effect of implementation of a coded problem list entry subsystem

Chen, Chia-Chang; Chang, Chung‐Hsin; Peng, Yen‐Chun; Poon, Sek‐Kwong; Huang, Shih-Che; Li, Yu-Chuan

doi:10.1016/j.cmpb.2016.05.012

Cited by 1 publication

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rodrigues et al [35] asserted that to build a common ontology, you have to agree on a common model of meaning. Although SCT is published twice a year (January and July) in Release Format 2 (RF2), the 19 top-level concepts are not changed between these releases; new releases mainly try to fix redundancies, inconsistencies, errors, and shortages [6, 36]. For each new release, IHTSDO provides textual release notes and delta files to determine the atomic additions and removals of concepts and relationships [7].…”

Section: Introductionmentioning

confidence: 99%

SNOMED CT standard ontology based on the ontology for general medical science

El–Sappagh

Franda

Ali

et al. 2018

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

BackgroundSystematized Nomenclature of Medicine—Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic health data. Some efforts have been made to capture the contents of SCT as Web Ontology Language (OWL), but these efforts have been hampered by the size and complexity of SCT.MethodOur proposal here is to develop an upper-level ontology and to use it as the basis for defining the terms in SCT in a way that will support quality assurance of SCT, for example, by allowing consistency checks of definitions and the identification and elimination of redundancies in the SCT vocabulary. Our proposed upper-level SCT ontology (SCTO) is based on the Ontology for General Medical Science (OGMS).ResultsThe SCTO is implemented in OWL 2, to support automatic inference and consistency checking. The approach will allow integration of SCT data with data annotated using Open Biomedical Ontologies (OBO) Foundry ontologies, since the use of OGMS will ensure consistency with the Basic Formal Ontology, which is the top-level ontology of the OBO Foundry. Currently, the SCTO contains 304 classes, 28 properties, 2400 axioms, and 1555 annotations. It is publicly available through the bioportal at http://bioportal.bioontology.org/ontologies/SCTO/.ConclusionThe resulting ontology can enhance the semantics of clinical decision support systems and semantic interoperability among distributed electronic health records. In addition, the populated ontology can be used for the automation of mobile health applications.

show abstract

Section: Introductionmentioning

confidence: 99%