Ontological modelling and rule‐based reasoning for the provision of personalized patient education

Current approaches to patient education provide generic standardized materials to all patients regardless of their demographics such as age and cognitive abilities. Thus, the effectiveness of this approach may suffer from a patient's motivation to fully engage with the material. To alleviate these concerns, this study proposes a personalized approach to patient education that is tailored to the individual characteristics and health objectives of the patient. Personalized features will enhance the comprehensibility and usability of the process of medical education. Taking this into consideration, this paper introduces a conceptual architecture to create a web-based personalized patient education experience. A key component of this architecture comprises ontological models of the patient themselves, their medical conditions, physical activities and their educational attainments. Furthermore, rule-based reasoning is also proposed to achieve this personalization. A use case scenario is provided to highlight the effectiveness of personalized education provision.

[1]  Leo Lentz,et al.  Improving the usability of patient information leaflets. , 2010, Patient education and counseling.

[2]  Charles Ellis,et al.  Diabetes and depression: global perspectives. , 2010, Diabetes research and clinical practice.

[3]  Marcela D. Rodríguez,et al.  Intervention Tailoring in Augmented Cognition Systems for Elders With Dementia , 2014, IEEE Journal of Biomedical and Health Informatics.

[4]  Adriaan Visser,et al.  A history of patient education by health professionals in Europe and North America: from authority to shared decision making education. , 2010, Patient education and counseling.

[5]  Karin Joubert,et al.  Quality and readability of information pamphlets on hearing and paediatric hearing loss in the Gauteng Province, South Africa. , 2014, International journal of pediatric otorhinolaryngology.

[6]  M. Fishbein,et al.  Understanding tailoring in communicating about health. , 2008, Health education research.

[7]  Pinar Yolum,et al.  Semantic Description of Liver CT Images: An Ontological Approach , 2014, IEEE Journal of Biomedical and Health Informatics.

[8]  Yarden Katz,et al.  Pellet: A practical OWL-DL reasoner , 2007, J. Web Semant..

[9]  D. Nutbeam The evolving concept of health literacy. , 2008, Social science & medicine.

[10]  Rung Ching Chen,et al.  A recommendation system based on domain ontology and SWRL for anti-diabetic drugs selection , 2012, Expert Syst. Appl..

[11]  H. Lan,et al.  SWRL : A semantic Web rule language combining OWL and ruleML , 2004 .

[12]  Peter Regner,et al.  Bayesian network construction using a fuzzy rule based approach for medical decision support , 2015, Expert Syst. J. Knowl. Eng..

[13]  Nancy F Butte,et al.  Chronicle of the Institute of Medicine physical activity recommendation: how a physical activity recommendation came to be among dietary recommendations. , 2004, The American journal of clinical nutrition.

[14]  Radmila Juric,et al.  Towards a Software Tool for Raising Awareness of Diabetic Foot in Diabetic Patients , 2013, 2013 46th Hawaii International Conference on System Sciences.

[15]  Simon A. Dobson,et al.  Ontology-based models in pervasive computing systems , 2007, The Knowledge Engineering Review.

[16]  P. Bonsignore,et al.  Diabetes Self-Management Education for Older Adults: General Principles and Practical Application , 2006 .

[17]  M. Wolf,et al.  Literacy and Misunderstanding Prescription Drug Labels , 2007, Annals of Internal Medicine.

[18]  Nelia Lasierra,et al.  A three stage ontology-driven solution to provide personalized care to chronic patients at home , 2013, J. Biomed. Informatics.

[19]  Mehmet A. Orgun,et al.  Introduction to the special issue on advances in ontologies , 2008, Expert Syst. J. Knowl. Eng..

[20]  Judith Hong,et al.  Compassionate care: enhancing physician-patient communication and education in dermatology: Part II: Patient education. , 2013, Journal of the American Academy of Dermatology.

[21]  Michael Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.

[22]  Markus Forsberg,et al.  Readability, suitability and comprehensibility in patient education materials for Swedish patients with colorectal cancer undergoing elective surgery: a mixed method design. , 2014, Patient education and counseling.