| Literature DB >> 35371617 |
Patricia Ngantcha1, Muhammad Tuan Amith2, Kirk Roberts2, John A Valenza3, Muhammad Walji3, Cui Tao2.
Abstract
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.Entities:
Keywords: biomedical informatics; educational technology; electronic medical records; intelligent agent; knowledge representation; semantic web
Year: 2021 PMID： 35371617 PMCID： PMC8972912 DOI： 10.1109/bibm52615.2021.9669748
Source DB: PubMed Journal: Proceedings (IEEE Int Conf Bioinformatics Biomed) ISSN： 2156-1125