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A Semantic Computer-Enabled Architecture For The Provision Of Personalised Patient Education

Quinn, Susan, Bond, Raymond and Nugent, Chris (2015) A Semantic Computer-Enabled Architecture For The Provision Of Personalised Patient Education. In: 7th Annual Translational Medicine Conference, Derry/Londonderry. CTRIC. 1 pp. [Conference contribution]

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URL: http://www.c-tric.com/tmed7/programmespeakers

Abstract

Background:Current approaches to patient education include the provision of standardised pamphlets. However the effectiveness of this approach may be hampered due to a patient’s inability or motivation to engage with generic material. Personalisation presents a means to enhance the usability of patient education.Material & Methods:We developed a web-based architecture to provide personalised education to diabetic patients. Semantic technologies were utilised to link and reason on social demographic data to support the personalisation. A Web Ontology Language (OWL) ontology was used to model various features of diabetes such as symptoms, treatments and complications. A user model was also represented in the ontology. This captured the personal and educational characteristics of a patient along with their health status. Personalisation rules, represented using Semantic Web Rule Language (SWRL), were developed to facilitate the adaptation of the education material to the individual needs of each patient. The rules utilised the data captured in the ontology to determine the composition, style and readability of the education. Results:The personalised education was tailored to the health status of each patient, focusing on their particular experience of symptoms, treatments and complications. Moreover, in order to assist the patient’s comprehension the textual information was adapted to a suitable readability level. Readability was also enhanced by displaying the text at an appropriate size and style for each patient. We also attempted to enhance engagement by including images that were personalised by age group and gender. The educational content was adaptable to changes in the patient’s health status.Conclusions:Personalisation presents a means to enhance the effectiveness of patient education through the provision of interactive material that focuses on the particular patient’s needs and health objectives. Semantic web technologies may be utilised to adapt the presentation and content of the education to enhance patient engagement and increase their health literacy.

Item Type:Conference contribution (Poster)
Keywords:Patient Education, ontology, knowledge engineering
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:32538
Deposited By: Dr Raymond Bond
Deposited On:03 Nov 2015 12:29
Last Modified:03 Nov 2015 12:29

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