@INPROCEEDINGS{DelPintoEtal23,
AUTHOR = {Del-Pinto, W. and Schmidt, R. A. and Gao, Y. and Alghamdi, G. and {Lopez Osornio}, A. and Roy, S.},
YEAR = {2023},
TITLE = {International Patient Summary Terminology},
XEDITOR = {XXX},
BOOKTITLE = {MEDINFO 2023: Proceedings of the 19th World Congress on Medical and Health Informatics},
SERIES = {Studies in Health Technology and Informatics},
XVOLUME = {},
PUBLISHER = {IOS Press},
XPAGES = {},
NOTE = {To appear},
ABSTRACT = {
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, instead it is better to concentrate on those parts that apply to the particular
application. This paper considers the application of a novel subontology extraction
method to create a new resource called the IPS terminology. The IPS terminology
functions as a standalone ontology with the same features as SNOMED CT but is
designed for cross-border patient care.
}
}