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Grant: Health System Impact Fellowships - PostDoc Central Canada 2 year

Unity Health Toronto

$108,500.00

Harnessing 'big data' and artificial intelligence methods to identify health inequities and support action on the social determinants of health in primary care

FY 2020-21

Summary
Digital health information is growing, especially through the increased use of electronic medical records (EMRs) in healthcare settings. EMR data can be used to improve patient care, to monitor the health of populations over time, and for research. Canada needs more skilled scientists that can understand these data and help health organizations use their data for better healthcare. This project will advance my training as a health data scientist by collaborating with Unity Health Toronto to address one of their health challenges. Unity Health Toronto is a large health science centre in south-east Toronto with a focus on providing care to individuals made vulnerable by social and economic factors. It is home to the St. Michael's Hospital Family Health Team (FHT), who are well-known for their work providing equitable, patient-centred health care by addressing social determinants of health (SDoH). Since 2013, the FHT has been asking patients about different aspects of their personal, social, economic, and environmental conditions; this information then becomes part of their EMR. This project will build on the FHT's work to expand the capture of SDoH information for their patients, including using an analytic approach to extract information from other, more challenging areas of the EMR. This information will help to understand the gaps in care provided by the FHT and to identify and prioritize patients who require follow-up care. Overall, this work aims to use a data-driven approach to support the FHT in their clinical activities and address the wider health needs of their patients.
Program
Health System Impact Fellowships - PostDoc Central Canada 2 year
Location
Ontario, Canada
Recipient Type
Other
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
449203
Name
Garies Stephanie
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Health Services and Policy Research
Theme2
Health systems / services
Prcname2
Fellowship : Health System Impact Fellowship Post Doctoral Fellows
Projecttitle
Harnessing 'big data' and artificial intelligence methods to identify health inequities and support action on the social determinants of health in primary care
Programtype2
Fellowship Programs
Orgnameinp2
Unity Health Toronto
Cihramount2
$108,500
Cihrequipment2
$0
Programname2
Health System Impact Fellowships - PostDoc Central Canada 2 year
Keyworddelim
Artificial Intelligence; Electronic Medical Records; Primary Health Care; Social Determinants Of Health
Abstract
Digital health information is growing, especially through the increased use of electronic medical records (EMRs) in healthcare settings. EMR data can be used to improve patient care, to monitor the health of populations over time, and for research. Canada needs more skilled scientists that can understand these data and help health organizations use their data for better healthcare. This project will advance my training as a health data scientist by collaborating with Unity Health Toronto to address one of their health challenges. Unity Health Toronto is a large health science centre in south-east Toronto with a focus on providing care to individuals made vulnerable by social and economic factors. It is home to the St. Michael's Hospital Family Health Team (FHT), who are well-known for their work providing equitable, patient-centred health care by addressing social determinants of health (SDoH). Since 2013, the FHT has been asking patients about different aspects of their personal, social, economic, and environmental conditions; this information then becomes part of their EMR. This project will build on the FHT's work to expand the capture of SDoH information for their patients, including using an analytic approach to extract information from other, more challenging areas of the EMR. This information will help to understand the gaps in care provided by the FHT and to identify and prioritize patients who require follow-up care. Overall, this work aims to use a data-driven approach to support the FHT in their clinical activities and address the wider health needs of their patients.
Competitiondate
202102
Approvedterm2
2 yrs 0 mth
Pinamesdelim
Garies, Stephanie
Approvedterm
2 ans 0 mois
Cihrcontribution2
Inst of Hlth Serv & Policy Res~ $73,500~ $0~Inst of Population &Publ Hlth~ $35,000~ $0~