ArticleDigital human modeling and applications in health, safety, ergonomics and risk management : human body, motion and behavior : 12th International Conference, DHM 2021, held as part of the 23rd HCI International Conference, HCII 2021, Vir...2021
Patient-Provider Communication Training Models for Interactive Speech Devices.
Article in Digital human modeling and applications in health, safety, ergonomics and risk management : human body, motion and behavior : 12th International Conference, DHM 2021, held as part of the 23rd HCI International Conference, HCII 2021, Vir..., 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Validity and reliability of the Home Health Care Survey of the Consumer Assessment of Healthcare Providers and System (HHCAHPS) tool: a multicentre cross-sectional study.Journal of preventive medicine and hygiene · 2025Article
- Health-related quality of life associated with fatigue, physical activity and activity pacing in adults with chronic conditions.BMC sports science, medicine & rehabilitation · 2025Article
- Dental EHR-infused Persona Ontologies to Enrich Dental Dialogue Interaction of Agents.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2021Article
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Patient-provider communication plays a major role in healthcare with its main goal being to improve the patient's health and build a trustworthy relationship between the patient and the doctor. Provider's efficiency and effectiveness in communication can be improved through training in order to meet the essential elements of communication that are relevant during medical encounters. We surmised that speech-enabled conversational agents could be used as a training tool. In this study, we propose designing an ontology-based interaction model that can direct software agents to train dental and medical students. We transformed sample scenario scripts into a formalized ontology training model that links utterances of the user and the machine that expresses patient-provider communication. We created two instance-based models from the ontology to test the operational execution of the model using a prototype software engine. The assessment revealed that the dialogue engine was able to handle about 62% of the dialogue links. Future direction of this work will focus on further enhancing and capturing the features of patient-provider communication, and eventual deployment for pilot testing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.