Grant: Applied Research and Development Grants - Level 1
College of New Caledonia
$25,000.00
Research and developing a machine intelligence systemfor processing incoming patient insurance payments.
FY 2016-17
Summary
The College of New Caledonia and Family Dental Care, a group of five full-service dental offices located in Prince George, British Columbia, are researching and developing a machine-learning approach to automate and improve routine tasks in healthcare administration. Currently, healthcare administrative staff spend considerable time and resources processing patient insurance payment information. This project will develop a software algorithm that automates elements of this process by ""teaching"" a computer to analyze insurance payment forms, recognize and extract important information from forms, and populate a central database with information and recommendations. By automating these processes, this project seeks to develop an innovative approach that will save administrative staff considerable time and resources. College students from business and electronics programs will participate in this project, and will learn valuable skills in emerging business applications of artificial intelligence technology. This disruptive technology has tremendous innovation potential in virtually every sector of the Canadian economy, and students participating in this project will be well-positioned to make a contribution in this area.
Program
Applied Research and Development Grants - Level 1
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
500737-2016
Name nom
Griesbauer, Hardy
Department département
Head Office
Organization id
22211
Institution établissement
College of New Caledonia
Province en
British Columbia
Province fr
Colombie-Britannique
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
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Partie
1
Nb partie
1
Application title
Research and developing a machine intelligence systemfor processing incoming patient insurance payments.
Keyword
NSERC
Application summary
The College of New Caledonia and Family Dental Care, a group of five full-service dental offices located in Prince George, British Columbia, are researching and developing a machine-learning approach to automate and improve routine tasks in healthcare administration. Currently, healthcare administrative staff spend considerable time and resources processing patient insurance payment information. This project will develop a software algorithm that automates elements of this process by ""teaching"" a computer to analyze insurance payment forms, recognize and extract important information from forms, and populate a central database with information and recommendations. By automating these processes, this project seeks to develop an innovative approach that will save administrative staff considerable time and resources. College students from business and electronics programs will participate in this project, and will learn valuable skills in emerging business applications of artificial intelligence technology. This disruptive technology has tremendous innovation potential in virtually every sector of the Canadian economy, and students participating in this project will be well-positioned to make a contribution in this area.
