A Health eLearning Ontology and Procedural Reasoning Approach for Developing Personalized Courses to Teach Patients about Their Medical Condition and Treatment
| Autor: | Szymon Wilk, Dympna O'Sullivan, Martin Michalowski, Mor Peleg, Marc Carrier, Grégoire Le Gal, Enea Parimbelli, Stephen P. Kingwell, Silvia Bonaccio, Wojtek Michalowski |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
precompiled planning
020205 medical informatics Computer science Health Personnel Health Toxicology and Mutagenesis procedural reasoning system 02 engineering and technology Ontology (information science) Article patient education Bloom’s taxonomy Personalization 03 medical and health sciences 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering VARK Humans Learning 030212 general & internal medicine ontology Problem Solving personalization educational learning Medical education Operationalization Computer Sciences Public Health Environmental and Occupational Health Kinesthetic learning Patient education Comprehension Procedural reasoning system Medicine Computer-Assisted Instruction Qualitative research |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 18, Iss 7355, p 7355 (2021) Articles International Journal of Environmental Research and Public Health Volume 18 Issue 14 |
| ISSN: | 1661-7827 1660-4601 |
| Popis: | We propose a methodological framework to support the development of personalized courses that improve patients’ understanding of their condition and prescribed treatment. Inspired by Intelligent Tutoring Systems (ITSs), the framework uses an eLearning ontology to express domain and learner models and to create a course. We combine the ontology with a procedural reasoning approach and precompiled plans to operationalize a design across disease conditions. The resulting courses generated by the framework are personalized across four patient axes—condition and treatment, comprehension level, learning style based on the VARK (Visual, Aural, Read/write, Kinesthetic) presentation model, and the level of understanding of specific course content according to Bloom’s taxonomy. Customizing educational materials along these learning axes stimulates and sustains patients’ attention when learning about their conditions or treatment options. Our proposed framework creates a personalized course that prepares patients for their meetings with specialists and educates them about their prescribed treatment. We posit that the improvement in patients’ understanding of prescribed care will result in better outcomes and we validate that the constructs of our framework are appropriate for representing content and deriving personalized courses for two use cases: anticoagulation treatment of an atrial fibrillation patient and lower back pain management to treat a lumbar degenerative disc condition. We conduct a mostly qualitative study supported by a quantitative questionnaire to investigate the acceptability of the framework among the target patient population and medical practitioners. |
| Databáze: | OpenAIRE |
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