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Grant: Applied Research and Development Grants - Level 1

Seneca College of Applied Arts and Technology

$25,000.00

Development of a Cognitive Module to Enable Medical Confidence Workflow

FY 2016-17

Summary
Medical Confidence is a Canadian healthcare navigation provider based in Richmond Hill, Ontario who is fully aligned with theCanadian Health Act, and who works in partnership with individuals, physician specialists and family practitioners. MedicalConfidences mission is to EMPOWER healthcare consumers so that individuals have information and access to ideal physicianspecialists when they need it the most. The underlying theory behind this mission is that engaged patients have more confidencein their medical practitioners and are more actively involved in their diagnosis, treatment plan and recovery. Working with MedicalConfidence, individuals use the Canadian healthcare system to its full potential.Medical Confidence is a unique service offering within Canada. They have market traction with large and prominent customersand have demand in the marketplace. By embedding cognitive technology and automation into Medical Confidence existing workprocesses, they will be able to operate more efficiently, through the utilization of evidence-based systems, and will accommodateits high growth. Seneca College researchers, in collaboration with Medical Confidence, will explore and evaluate different machinelearning tools and technologies to help Medical Confidence design and develop a machine learning module/cognitive system forsearching and extracting results from their large data set. The ultimate result will be increased throughput and productivity forMedical Confidence, leading to increased corporate revenues and job creation in Ontario.
Program
Applied Research and Development Grants - Level 1
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
505295-2016
Name nom
Williamson, Vanessa
Department département
Markham Campus
Organization id
1803
Institution établissement
Seneca College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2016
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Partie
1
Nb partie
1
Application title
Development of a Cognitive Module to Enable Medical Confidence Workflow
Keyword
NSERC
Application summary
Medical Confidence is a Canadian healthcare navigation provider based in Richmond Hill, Ontario who is fully aligned with theCanadian Health Act, and who works in partnership with individuals, physician specialists and family practitioners. MedicalConfidences mission is to EMPOWER healthcare consumers so that individuals have information and access to ideal physicianspecialists when they need it the most. The underlying theory behind this mission is that engaged patients have more confidencein their medical practitioners and are more actively involved in their diagnosis, treatment plan and recovery. Working with MedicalConfidence, individuals use the Canadian healthcare system to its full potential.Medical Confidence is a unique service offering within Canada. They have market traction with large and prominent customersand have demand in the marketplace. By embedding cognitive technology and automation into Medical Confidence existing workprocesses, they will be able to operate more efficiently, through the utilization of evidence-based systems, and will accommodateits high growth. Seneca College researchers, in collaboration with Medical Confidence, will explore and evaluate different machinelearning tools and technologies to help Medical Confidence design and develop a machine learning module/cognitive system forsearching and extracting results from their large data set. The ultimate result will be increased throughput and productivity forMedical Confidence, leading to increased corporate revenues and job creation in Ontario.
Seneca College of Applied Arts and Technology - $25,0… | Canada Spends