Conceiving an application ontology to model patient human papillomavirus vaccine counseling for dialogue management.

Conversational agent Dialogue system Human papillomavirus vaccine Ontology Patient provider communication

Journal

BMC bioinformatics
ISSN: 1471-2105
Titre abrégé: BMC Bioinformatics
Pays: England
ID NLM: 100965194

Informations de publication

Date de publication:
23 Dec 2019
Historique:
entrez: 24 12 2019
pubmed: 24 12 2019
medline: 23 2 2020
Statut: epublish

Résumé

In the United States and parts of the world, the human papillomavirus vaccine uptake is below the prescribed coverage rate for the population. Some research have noted that dialogue that communicates the risks and benefits, as well as patient concerns, can improve the uptake levels. In this paper, we introduce an application ontology for health information dialogue called Patient Health Information Dialogue Ontology for patient-level human papillomavirus vaccine counseling and potentially for any health-related counseling. The ontology's class level hierarchy is segmented into 4 basic levels - Discussion, Goal, Utterance, and Speech Task. The ontology also defines core low-level utterance interaction for communicating human papillomavirus health information. We discuss the design of the ontology and the execution of the utterance interaction. With an ontology that represents patient-centric dialogue to communicate health information, we have an application-driven model that formalizes the structure for the communication of health information, and a reusable scaffold that can be integrated for software agents. Our next step will to be develop the software engine that will utilize the ontology and automate the dialogue interaction of a software agent.

Sections du résumé

BACKGROUND BACKGROUND
In the United States and parts of the world, the human papillomavirus vaccine uptake is below the prescribed coverage rate for the population. Some research have noted that dialogue that communicates the risks and benefits, as well as patient concerns, can improve the uptake levels. In this paper, we introduce an application ontology for health information dialogue called Patient Health Information Dialogue Ontology for patient-level human papillomavirus vaccine counseling and potentially for any health-related counseling.
RESULTS RESULTS
The ontology's class level hierarchy is segmented into 4 basic levels - Discussion, Goal, Utterance, and Speech Task. The ontology also defines core low-level utterance interaction for communicating human papillomavirus health information. We discuss the design of the ontology and the execution of the utterance interaction.
CONCLUSION CONCLUSIONS
With an ontology that represents patient-centric dialogue to communicate health information, we have an application-driven model that formalizes the structure for the communication of health information, and a reusable scaffold that can be integrated for software agents. Our next step will to be develop the software engine that will utilize the ontology and automate the dialogue interaction of a software agent.

Identifiants

pubmed: 31865902
doi: 10.1186/s12859-019-3193-7
pii: 10.1186/s12859-019-3193-7
pmc: PMC6927108
doi:

Substances chimiques

Papillomavirus Vaccines 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

706

Subventions

Organisme : NLM NIH HHS
ID : R00 LM012104
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI130460
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM011829
Pays : United States

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Auteurs

Muhammad Amith (M)

School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Road, Suite 600, Houston, TX, 77030, USA.

Kirk Roberts (K)

School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Road, Suite 600, Houston, TX, 77030, USA.

Cui Tao (C)

School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Road, Suite 600, Houston, TX, 77030, USA. cui.tao@uth.tmc.edu.

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