TY - GEN
T1 - Dental EHR-infused Persona Ontologies to Enrich Dental Dialogue Interaction of Agents
AU - Ngantcha, Patricia
AU - Amith, Muhammad Ltuanr
AU - Roberts, Kirk
AU - Valenza, John A.
AU - Walji, Muhammad
AU - Tao, Cui
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The quality of patient-provider communication can predict the healthcare outcomes in patients, and therefore, training dental providers to handle the communication effort with patients is crucial. In our previous work, we developed an ontology model that can standardize and represent patient-provider communication, which can later be integrated in conversational agents as tools for dental communication training. In this study, we embark on enriching our previous model with an ontology of patient personas to portray and express types of dental patient archetypes. The Ontology of Patient Personas that we developed was rooted in terminologies from an OBO Foundry ontology and dental electronic health record data elements. We discuss how this ontology aims to enhance the aforementioned dialogue ontology and future direction in executing our model in software agents to train dental students.
AB - The quality of patient-provider communication can predict the healthcare outcomes in patients, and therefore, training dental providers to handle the communication effort with patients is crucial. In our previous work, we developed an ontology model that can standardize and represent patient-provider communication, which can later be integrated in conversational agents as tools for dental communication training. In this study, we embark on enriching our previous model with an ontology of patient personas to portray and express types of dental patient archetypes. The Ontology of Patient Personas that we developed was rooted in terminologies from an OBO Foundry ontology and dental electronic health record data elements. We discuss how this ontology aims to enhance the aforementioned dialogue ontology and future direction in executing our model in software agents to train dental students.
KW - biomedical informatics
KW - educational technology
KW - electronic medical records
KW - intelligent agent
KW - knowledge representation
KW - semantic web
UR - http://www.scopus.com/inward/record.url?scp=85125191355&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85125191355&partnerID=8YFLogxK
U2 - 10.1109/BIBM52615.2021.9669748
DO - 10.1109/BIBM52615.2021.9669748
M3 - Conference contribution
AN - SCOPUS:85125191355
T3 - Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
SP - 1818
EP - 1825
BT - Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
A2 - Huang, Yufei
A2 - Kurgan, Lukasz
A2 - Luo, Feng
A2 - Hu, Xiaohua Tony
A2 - Chen, Yidong
A2 - Dougherty, Edward
A2 - Kloczkowski, Andrzej
A2 - Li, Yaohang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
Y2 - 9 December 2021 through 12 December 2021
ER -