Using an artificial intelligence-based argument theory to generate automated patient education dialogues for families of children with juvenile idiopathic arthritis

Benjamin Rose-Davis; William Van Woensel; Elizabeth Stringer; Samina Abidi; Syed Sibte Raza Abidi

doi:10.3233/SHTI190444

Using an artificial intelligence-based argument theory to generate automated patient education dialogues for families of children with juvenile idiopathic arthritis

Benjamin Rose-Davis, William Van Woensel, Elizabeth Stringer, Samina Abidi, Syed Sibte Raza Abidi

Medicine

Producción científica: Capítulo en Libro/Reporte/Acta de conferencia › Contribución a la conferencia

11 Citas (Scopus)

Resumen

Juvenile Idiopathic Arthritis (JIA) is the most common chronic rheumatic disease of childhood, with outcomes including pain, prolonged dependence on medications, and disability. Parents of children with JIA report being overwhelmed by the volume of information in the patient education materials that are available to them. This paper addresses this educational gap by applying an artificial intelligence method, based on an extended model of argument, to design and implement a dialogue system that allows users get the educational material they need, when they need it. In the developed system, the studied model of argument was leveraged as part of the system's dialogue manager. A qualitative evaluation of the system, using cognitive walkthroughs and semi-structured interviews with JIA domain experts, suggests that these methods show great promise for providing quality information to families of children with JIA when they need it.

Idioma original	English
Título de la publicación alojada	MEDINFO 2019
Subtítulo de la publicación alojada	Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
Editores	Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
Editorial	IOS Press
Páginas	1337-1341
Número de páginas	5
ISBN (versión digital)	9781643680026
DOI	https://doi.org/10.3233/SHTI190444
Estado	Published - ago. 21 2019
Evento	17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duración: ago. 25 2019 → ago. 30 2019

Serie de la publicación

Nombre	Studies in Health Technology and Informatics
Volumen	264
ISSN (versión impresa)	0926-9630
ISSN (versión digital)	1879-8365

Conference

Conference	17th World Congress on Medical and Health Informatics, MEDINFO 2019
País/Territorio	France
Ciudad	Lyon
Período	8/25/19 → 8/30/19

Nota bibliográfica

Publisher Copyright:
© 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).

ASJC Scopus Subject Areas

Biomedical Engineering
Health Informatics
Health Information Management

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.3233/SHTI190444

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Rose-Davis, B., Van Woensel, W., Stringer, E., Abidi, S., & Abidi, S. S. R. (2019). Using an artificial intelligence-based argument theory to generate automated patient education dialogues for families of children with juvenile idiopathic arthritis. En B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 1337-1341). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190444

Using an artificial intelligence-based argument theory to generate automated patient education dialogues for families of children with juvenile idiopathic arthritis. / Rose-Davis, Benjamin; Van Woensel, William; Stringer, Elizabeth et al.
MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1337-1341 (Studies in Health Technology and Informatics; Vol. 264).

Producción científica: Capítulo en Libro/Reporte/Acta de conferencia › Contribución a la conferencia

Rose-Davis, B, Van Woensel, W, Stringer, E , Abidi, S & Abidi, SSR 2019, Using an artificial intelligence-based argument theory to generate automated patient education dialogues for families of children with juvenile idiopathic arthritis. En B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 1337-1341, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 8/25/19. https://doi.org/10.3233/SHTI190444

Rose-Davis B, Van Woensel W, Stringer E , Abidi S, Abidi SSR. Using an artificial intelligence-based argument theory to generate automated patient education dialogues for families of children with juvenile idiopathic arthritis. En Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editores, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 1337-1341. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI190444

Rose-Davis, Benjamin ; Van Woensel, William ; Stringer, Elizabeth et al. / Using an artificial intelligence-based argument theory to generate automated patient education dialogues for families of children with juvenile idiopathic arthritis. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 1337-1341 (Studies in Health Technology and Informatics).

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abstract = "Juvenile Idiopathic Arthritis (JIA) is the most common chronic rheumatic disease of childhood, with outcomes including pain, prolonged dependence on medications, and disability. Parents of children with JIA report being overwhelmed by the volume of information in the patient education materials that are available to them. This paper addresses this educational gap by applying an artificial intelligence method, based on an extended model of argument, to design and implement a dialogue system that allows users get the educational material they need, when they need it. In the developed system, the studied model of argument was leveraged as part of the system's dialogue manager. A qualitative evaluation of the system, using cognitive walkthroughs and semi-structured interviews with JIA domain experts, suggests that these methods show great promise for providing quality information to families of children with JIA when they need it.",

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Using an artificial intelligence-based argument theory to generate automated patient education dialogues for families of children with juvenile idiopathic arthritis

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ASJC Scopus Subject Areas

ODS de las Naciones Unidas

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