Grant: Health System Impact Fellowships - PostDoc Central Canada 2 year
Ottawa Hospital Research Institute
$108,500.00
Development of a deep learning framework to predict suicidal behavior, repeat hospitalization, and emergency department visits in mental health patients
FY 2020-21
Summary
The Canadian Institute for Health Information (CIHI) is a not-for-profit organization that provides data standards and collection, analytical reports, and analytical tools to the Canadian health sector. CIHI has a five to ten year mandate to prioritize analytics for vulnerable populations, including individuals suffering from mental illness. Advances in deep learning and the availability of large health datasets, broadly and in some cases exclusively available to CIHI, has paved the way for new approaches to health-related predictive analytics.
As part of a postdoctoral fellowship at CIHI we propose to develop a deep learning-based framework that provides likelihood predictions for three future events in individuals with mental illness: 1) Probability of re-hospitalization, 2) Probability of emergency department visit, and 3) Probability of suicidal behavior. These predictions can help identify at-risk populations in order to adjust health services, reduce exposure to modifiable risk factors, evaluate suitability for patient discharge, provide early intervention, inform policy, and provide guidance for funding decisions based on predicted demands on mental health services.
In addition to my work at CIHI, I will be part of the Ottawa Hospital Research Institute (OHRI) and the Department of Medicine at the University of Ottawa under the supervision of Dr. Peter Tanuseputro. The OHRI is the research branch of the Ottawa Hospital, which is one of the largest learning and research hospitals in Canada. With Dr. Tanuseputro I will be using health data to study the effects of physician mental health on patient outcome, with a focus on machine learning. This is a first-of-its-kind opportunity where patient health data can be linked to the treating physician and the physician's mental health. This project will help identify areas requiring attention in the well-being of physicians, and translates well to workplace mental health in general and during times such as COVID-19.
Department
Program
Health System Impact Fellowships - PostDoc Central Canada 2 year
Recipient
Location
Ontario, Canada
Recipient Type
Other
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
449239
Name
Wellman Martin K
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Population and Public Health
Theme2
Social / Cultural / Environmental / Population Health
Prcname2
Fellowship : Health System Impact Fellowship Post Doctoral Fellows
Projecttitle
Development of a deep learning framework to predict suicidal behavior, repeat hospitalization, and emergency department visits in mental health patients
Programtype2
Fellowship Programs
Orgnameinp2
Ottawa Hospital Research Institute
Cihramount2
$108,500
Cihrequipment2
$0
Programname2
Health System Impact Fellowships - PostDoc Central Canada 2 year
Keyworddelim
Machine Learning; Mental Health; Population Health; Predictive Analytics
Abstract
The Canadian Institute for Health Information (CIHI) is a not-for-profit organization that provides data standards and collection, analytical reports, and analytical tools to the Canadian health sector. CIHI has a five to ten year mandate to prioritize analytics for vulnerable populations, including individuals suffering from mental illness. Advances in deep learning and the availability of large health datasets, broadly and in some cases exclusively available to CIHI, has paved the way for new approaches to health-related predictive analytics.
As part of a postdoctoral fellowship at CIHI we propose to develop a deep learning-based framework that provides likelihood predictions for three future events in individuals with mental illness: 1) Probability of re-hospitalization, 2) Probability of emergency department visit, and 3) Probability of suicidal behavior. These predictions can help identify at-risk populations in order to adjust health services, reduce exposure to modifiable risk factors, evaluate suitability for patient discharge, provide early intervention, inform policy, and provide guidance for funding decisions based on predicted demands on mental health services.
In addition to my work at CIHI, I will be part of the Ottawa Hospital Research Institute (OHRI) and the Department of Medicine at the University of Ottawa under the supervision of Dr. Peter Tanuseputro. The OHRI is the research branch of the Ottawa Hospital, which is one of the largest learning and research hospitals in Canada. With Dr. Tanuseputro I will be using health data to study the effects of physician mental health on patient outcome, with a focus on machine learning. This is a first-of-its-kind opportunity where patient health data can be linked to the treating physician and the physician's mental health. This project will help identify areas requiring attention in the well-being of physicians, and translates well to workplace mental health in general and during times such as COVID-19.
Competitiondate
202102
Approvedterm2
2 yrs 0 mth
Pinamesdelim
Wellman, Martin K
Approvedterm
2 ans 0 mois
Cihrcontribution2
Inst of Hlth Serv & Policy Res~ $108,500~ $0~
