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

Muhammad Amith, Kirk Roberts, Cui Tao

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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: 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: 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.

Original languageEnglish (US)
Article number706
JournalBMC bioinformatics
StatePublished - Dec 23 2019
Externally publishedYes


  • Conversational agent
  • Dialogue system
  • Human papillomavirus vaccine
  • Ontology
  • Patient provider communication

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics


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