TY - GEN
T1 - Health Ontology for Minority Equity (HOME)
AU - Kollapally, Navya Martin
AU - Chen, Yan
AU - Geller, James
N1 - Publisher Copyright:
Copyright © 2021 by SCITEPRESS – Science and Technology Publications, Lda.All rights reserved.
PY - 2021
Y1 - 2021
N2 - Healthcare inequity, as defined by the World Health Organization (WHO), is a systemic difference in healthcare services received by different population groups, based on race, ethnicity, gender, sexual orientation, etc. The Covid-19 pandemic has heightened the awareness of differences in care received by racial and ethnic minorities in the US. We have investigated the physical, psychological, and emotional harm that people of colour were exposed to during this time. It is necessary to record data about unequal treatment to identify and eradicate existing institutional racism in healthcare. Electronic Health Records (EHRs) rely to a high degree on "coded" terms from terminologies and ontologies. Such a biomedical ontology can be used for standardization, integration and sharing of data, knowledge reuse, decision support, etc. No ontology for racial differences exists in US healthcare. This motivation leads us to the development of such an ontology to record the physical, emotional, and psychological effects resulting from differences in treatment that citizens receive, based on their identity. Differences exist not only inside of healthcare organizations, but also occur even before entering them. We present the first version of such a Health Ontology for Minority Equity (HOME) along with ontology evaluation methods that we applied.
AB - Healthcare inequity, as defined by the World Health Organization (WHO), is a systemic difference in healthcare services received by different population groups, based on race, ethnicity, gender, sexual orientation, etc. The Covid-19 pandemic has heightened the awareness of differences in care received by racial and ethnic minorities in the US. We have investigated the physical, psychological, and emotional harm that people of colour were exposed to during this time. It is necessary to record data about unequal treatment to identify and eradicate existing institutional racism in healthcare. Electronic Health Records (EHRs) rely to a high degree on "coded" terms from terminologies and ontologies. Such a biomedical ontology can be used for standardization, integration and sharing of data, knowledge reuse, decision support, etc. No ontology for racial differences exists in US healthcare. This motivation leads us to the development of such an ontology to record the physical, emotional, and psychological effects resulting from differences in treatment that citizens receive, based on their identity. Differences exist not only inside of healthcare organizations, but also occur even before entering them. We present the first version of such a Health Ontology for Minority Equity (HOME) along with ontology evaluation methods that we applied.
KW - Healthcare Inequity
KW - Minority
KW - Ontology
KW - Ontology Evaluation
KW - Taxonomy
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M3 - Conference contribution
AN - SCOPUS:85125205933
T3 - International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings
SP - 17
EP - 27
BT - 13th International Conference on Knowledge Engineering and Ontology Development, KEOD 2021 as part of IC3K 2021 - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
A2 - Aveiro, David
A2 - Dietz, Jan
A2 - Filipe, Joaquim
PB - Science and Technology Publications, Lda
T2 - 13th International Conference on Knowledge Engineering and Ontology Development, KEOD 2021 as part of 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2021
Y2 - 25 October 2022 through 27 October 2022
ER -