Subventions et des contributions :

Titre :
Semantic Web Based System for Stroke Clinical Pathways Automation
Numéro de l’entente :
EGP
Valeur d'entente :
25 000,00 $
Date d'entente :
7 mars 2018 -
Organisation :
Conseil de recherches en sciences naturelles et en génie du Canada
Location :
Ontario, Autre, CA
Numéro de référence :
GC-2017-Q4-00154
Type d'entente :
subvention
Type de rapport :
Subventions et des contributions
Informations supplémentaires :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

Nom légal du bénéficiaire :
Benlamri, Rachid (Lakehead University)
Programme :
Subventions d'engagement partenarial pour les universités
But du programme :

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 tox000D
Carotid Artery Disease (CAD) tend to cause the most disability among all other types of strokes. A study byx000D
the Canadian Stroke Congress showed that the financial cost of stroke management on Canada's health carex000D
system amounts to a total of about $2.5 billion per year of Canadian's tax dollar. Given these facts, Qwantech isx000D
investing in software technology that allows computerization of CAD clinical pathways. Clinical Pathwaysx000D
(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 ofx000D
medical practice. At present, most CPs are paper-based and there is a need to address the challenge ofx000D
automating them in order to enhance healthcare efficiency and quality. In particular, Qwantech is investigatingx000D
software technology that can help combine CAD clinical pathways with medical information systems used inx000D
the workplace.x000D
In this research, we will assist Qwantech to apply state of the art Semantic Web technology to deploy clinicalx000D
pathways on existing Electronic Medical Records (EMR) systems. Ontology will be used to model CAD CPx000D
domain terms, and Semantic Web Rule language will be used to model CAD domain inference rules. In thisx000D
model, the CP could reason over the collected rules and knowledge, and provide automated medical guidancex000D
and error checking during the diagnosis and management of CAD. The algorithms to be developed in thisx000D
research will allow Qwantech develop software that enable better collaboration and clinical knowledge sharingx000D
amongst members of caregiver team. Such technology will also ensure better productivity and reduce costs.