Dental EHR-infused Persona Ontologies to Enrich Dental Dialogue Interaction of Agents.
biomedical informatics
educational technology
electronic medical records
intelligent agent
knowledge representation
semantic web
Journal
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
ISSN: 2156-1125
Titre abrégé: Proceedings (IEEE Int Conf Bioinformatics Biomed)
Pays: United States
ID NLM: 101525347
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
entrez:
4
4
2022
pubmed:
5
4
2022
medline:
5
4
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35371617
doi: 10.1109/bibm52615.2021.9669748
pmc: PMC8972912
mid: NIHMS1778758
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1818-1825Subventions
Organisme : NLM NIH HHS
ID : R00 LM012104
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI130460
Pays : United States
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