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

Résultat de recherche: Conference contribution

11 Citations (Scopus)

Résumé

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.

Langue d'origine	English
Titre de la publication principale	MEDINFO 2019
Sous-titre de la publication principale	Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
Éditeurs	Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
Maison d'édition	IOS Press
Pages	1337-1341
Nombre de pages	5
ISBN (électronique)	9781643680026
DOI	https://doi.org/10.3233/SHTI190444
Statut de publication	Published - août 21 2019
Événement	17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Durée: août 25 2019 → août 30 2019

Séries de publication

Prénom	Studies in Health Technology and Informatics
Volume	264
ISSN (imprimé)	0926-9630
ISSN (électronique)	1879-8365

Conference

Conference	17th World Congress on Medical and Health Informatics, MEDINFO 2019
Pays/Territoire	France
Ville	Lyon
Période	8/25/19 → 8/30/19

Note bibliographique

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

ODD de l’ONU

Cette action contribue à la réalisation des objectifs de développement durable suivants

Accès au document

10.3233/SHTI190444

Autres fichiers et liens

Citer

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. Dans B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Éds.), 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. éd. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1337-1341 (Studies in Health Technology and Informatics; Vol. 264).

Résultat de recherche: Conference contribution

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. dans B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (éds), 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. Dans Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, éditeurs, 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. éditeur / 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

Résumé

Séries de publication

Conference

Note bibliographique

ASJC Scopus Subject Areas

ODD de l’ONU

Accès au document

Autres fichiers et liens

Empreinte numérique

Citer