| Autor: |
Del-Pinto W; Department of Computer Science, University of Manchester, UK., Schmidt RA; Department of Computer Science, University of Manchester, UK., Gao Y; SNOMED International, UK., Alghamdi G; Department of Computer Science, University of Manchester, UK.; Department of Computer Science, Dar Al-Hekma University, Kingdom of Saudi Arabia., Osornio AL; SNOMED International, UK., Roy S; SNOMED International, UK. |
| Abstrakt: |
SNOMED CT is a comprehensive medical ontology used in health care sectors across the world covering a wide range of concepts that support diversity at the point of healthcare. However, not all these concepts are needed for every use case; it is better to concentrate on those parts that apply to the particular application while preserving the meaning of relevant concepts. This paper considers the application of a novel subontology extraction method to create a new resource, called the IPS terminology, which functions as a standalone ontology with the same features as SNOMED CT, but is designed for cross-border patient care. The IPS terminology has been released for free use under an open license, with the intention of promoting interoperability of health information worldwide. |
