Reference number : GC-2017-Q4-00154, amendment number : , agreement type : G, recipient legal name : Benlamri, Rachid (Lakehead University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Stroke is considered the second leading cause of death worldwide according to the World Health Organization._x000D_
It is also a leading cause of severe and long-term disabilities, including paralysis, sensory disturbances,_x000D_
problems with memory and thinking, and emotional disturbances. It is worth mentioning that strokes due to_x000D_
Carotid Artery Disease (CAD) tend to cause the most disability among all other types of strokes. A study by_x000D_
the Canadian Stroke Congress showed that the financial cost of stroke management on Canada's health care_x000D_
system amounts to a total of about $2.5 billion per year of Canadian's tax dollar. Given these facts, Qwantech is_x000D_
investing in software technology that allows computerization of CAD clinical pathways. Clinical Pathways_x000D_
(CPs) are health care plans or charts that detail the essential steps in the care of patients with a specific disease,_x000D_
describe the expected progress of the patient, and decrease the occurrence of any undesired variability of_x000D_
medical practice. At present, most CPs are paper-based and there is a need to address the challenge of_x000D_
automating them in order to enhance healthcare efficiency and quality. In particular, Qwantech is investigating_x000D_
software technology that can help combine CAD clinical pathways with medical information systems used in_x000D_
the workplace._x000D_
In this research, we will assist Qwantech to apply state of the art Semantic Web technology to deploy clinical_x000D_
pathways on existing Electronic Medical Records (EMR) systems. Ontology will be used to model CAD CP_x000D_
domain terms, and Semantic Web Rule language will be used to model CAD domain inference rules. In this_x000D_
model, the CP could reason over the collected rules and knowledge, and provide automated medical guidance_x000D_
and error checking during the diagnosis and management of CAD. The algorithms to be developed in this_x000D_
research will allow Qwantech develop software that enable better collaboration and clinical knowledge sharing_x000D_
amongst members of caregiver team. Such technology will also ensure better productivity and reduce costs., program purpose french : Stroke is considered the second leading cause of death worldwide according to the World Health Organization._x000D_
It is also a leading cause of severe and long-term disabilities, including paralysis, sensory disturbances,_x000D_
problems with memory and thinking, and emotional disturbances. It is worth mentioning that strokes due to_x000D_
Carotid Artery Disease (CAD) tend to cause the most disability among all other types of strokes. A study by_x000D_
the Canadian Stroke Congress showed that the financial cost of stroke management on Canada's health care_x000D_
system amounts to a total of about $2.5 billion per year of Canadian's tax dollar. Given these facts, Qwantech is_x000D_
investing in software technology that allows computerization of CAD clinical pathways. Clinical Pathways_x000D_
(CPs) are health care plans or charts that detail the essential steps in the care of patients with a specific disease,_x000D_
describe the expected progress of the patient, and decrease the occurrence of any undesired variability of_x000D_
medical practice. At present, most CPs are paper-based and there is a need to address the challenge of_x000D_
automating them in order to enhance healthcare efficiency and quality. In particular, Qwantech is investigating_x000D_
software technology that can help combine CAD clinical pathways with medical information systems used in_x000D_
the workplace._x000D_
In this research, we will assist Qwantech to apply state of the art Semantic Web technology to deploy clinical_x000D_
pathways on existing Electronic Medical Records (EMR) systems. Ontology will be used to model CAD CP_x000D_
domain terms, and Semantic Web Rule language will be used to model CAD domain inference rules. In this_x000D_
model, the CP could reason over the collected rules and knowledge, and provide automated medical guidance_x000D_
and error checking during the diagnosis and management of CAD. The algorithms to be developed in this_x000D_
research will allow Qwantech develop software that enable better collaboration and clinical knowledge sharing_x000D_
amongst members of caregiver team. Such technology will also ensure better productivity and reduce costs., agreement title english : Semantic Web Based System for Stroke Clinical Pathways Automation, agreement title french : Semantic Web Based System for Stroke Clinical Pathways Automation, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada