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Grant: Discovery Grants Program - Individual

École de technologie supérieure

$15,000.00

Integration of healthcare information

FY 2011-12

Summary
Prompt access to relevant clinical information is crucial when making healthcare decisions. The Electronic Health Record (EHR) promises better care by providing centralized access to different sources of data that make up the patient medical record. Such data includes the patient medical history, diagnostic reports from various care domains, images and other clinical data in electronic format. In addition to enabling timely access to relevant clinical information, EHR creates totally new opportunities for assisting in clinical tasks and for guiding medical decisions. As access to information originating from various sources is becoming possible, care decisions can be enhanced from information integration. Information integration aims to obtain a unified comprehensive view by integrating information that is extracted from data gathered at various sources. The extracted information needs to be semantically integrated, organized, and presented in order to help in the clinical investigations. On the other hand, with the EHR, the issue of data security has become increasingly important. Confidentiality needs to be ensured by controlling the access to personal health information as expressed by the patients' electronic consent. Within the framework of the proposed research program, we will explore a new access control framework based on the patients consent. We will also explore novel approaches for information integration, organization and presentation to help in information navigation. Furthermore, we will investigate innovative methods to identify and co-locate features from multi-modality images, such as X-rays and Magnetic Resonance Images, in order to assist in breast cancer assessment.
Program
Discovery Grants Program - Individual
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
171073-2008
Name nom
Noumeir, Rita
Department département
Génie électrique
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2011
Competition year année de concours
2008
Award amount
15000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
331
Committee name en
Computing and Information Sciences - B
Committee name fr
Informatique - B
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
1900
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical engineering
Research subject fr
Génie biomédical
Partie
4
Nb partie
5
Application title
Integration of healthcare information
Keyword
NSERC
Application summary
Prompt access to relevant clinical information is crucial when making healthcare decisions. The Electronic Health Record (EHR) promises better care by providing centralized access to different sources of data that make up the patient medical record. Such data includes the patient medical history, diagnostic reports from various care domains, images and other clinical data in electronic format. In addition to enabling timely access to relevant clinical information, EHR creates totally new opportunities for assisting in clinical tasks and for guiding medical decisions. As access to information originating from various sources is becoming possible, care decisions can be enhanced from information integration. Information integration aims to obtain a unified comprehensive view by integrating information that is extracted from data gathered at various sources. The extracted information needs to be semantically integrated, organized, and presented in order to help in the clinical investigations. On the other hand, with the EHR, the issue of data security has become increasingly important. Confidentiality needs to be ensured by controlling the access to personal health information as expressed by the patients' electronic consent. Within the framework of the proposed research program, we will explore a new access control framework based on the patients consent. We will also explore novel approaches for information integration, organization and presentation to help in information navigation. Furthermore, we will investigate innovative methods to identify and co-locate features from multi-modality images, such as X-rays and Magnetic Resonance Images, in order to assist in breast cancer assessment.