Portrait of David Buckeridge

David Buckeridge

Associate Academic Member

Full Professor, McGill University, Department of Epidemiology, Biostatistics and Occupational Health

Research Topics

Medical Machine Learning

Biography

David Buckeridge is a professor at the School of Population and Global Health at McGill University, as well as chief digital health officer for the McGill University Health Centre and executive scientific director of the Public Health Agency of Canada.

A Tier 1 Canada Research Chair in Health Informatics and Data Science, Buckeridge has projected health system demand for the Canadian province of Quebec, led data management and analytics for the Canadian Immunity Task Force, and supported the World Health Organization in monitoring global immunity to SARS-CoV-2. He has an MD from Queen's University, an MSc in epidemiology from the University of Toronto and a PhD in biomedical informatics from Stanford University. He is a Fellow of the Royal College of Physicians of Canada.

Current Students

Master's Research - McGill University

Master's Research - McGill University

PhD - McGill University

Master's Research - McGill University

Master's Research - McGill University

Master's Research - McGill University

Publications

Both New and Chronic Potentially Inappropriate Medications Continued at Hospital Discharge Are Associated With Increased Risk of Adverse Events

Daniala L Weir

Todd C. Lee

Emily G. McDonald

Aude Motulsky

Michal Abrahamowicz

Steven Morgan

David Buckeridge

Robyn Tamblyn

2020-03-31

Journal of The American Geriatrics Society (published)

Multinational Investigation of Fracture Risk with Antidepressant Use by Class, Drug, and Indication

Robyn Tamblyn

David W. Bates

David Buckeridge

William G. Dixon

Nadyne Girard

Jennifer S. Haas

Bettina Habib

Usman Iqbal

Jack Li

Therese Sheppard

Antidepressants increase the risk of falls and fracture in older adults. However, risk estimates vary considerably even in comparable popula… (see more)tions, limiting the usefulness of current evidence for clinical decision making. Our aim was to apply a common protocol to cohorts of older antidepressant users in multiple jurisdictions to estimate fracture risk associated with different antidepressant classes, drugs, doses, and potential treatment indications.

2020-03-17

Journal of the American Geriatrics Society (published)

Seven pillars of precision digital health and medicine

Arash Shaban-Nejad

Martin Michalowski

Niels Peek

John S. Brownstein

David Buckeridge

2020-03-01

Artificial Intelligence in Medicine (published)

Conducting gender-based analysis of existing databases when self-reported gender data are unavailable: the GENDER Index in a working population

M. Gabrielle Pagé

Bilkis Vissandjée

Hermine Lore Nguena Nguefack

Joel Katz

Oumar Mallé Samb

Alain Gillian Lucie David Manon Catherine Anaïs Benoit Alexandre Amélie Pasquale Valérie Marie-Pascale Mike Anne-Marie Marc Josiane Mireille Stéphanie Pierre Annie Isabelle Danielle Denis Jaime André Geneviève Jean-François Roxanne Marc-Antoine Pier Sonia Vanasse

Alain Gillian Lucie David Manon Catherine Anaïs Benoit A Vanasse Bartlett Blais Buckeridge Choinière Hudon

Alain Vanasse

Gillian Bartlett

Lucie Blais

David Buckeridge

Manon Choinière

Catherine Hudon

Anaïs Lacasse

Benoit Lamarche

Alexandre Lebel

Amélie Quesnel-Vallée

Pasquale Roberge

Valérie Émond

Marie-Pascale Pomey … (see 19 more)

Mike Benigeri

Anne-Marie Cloutier

Marc Dorais

Josiane Courteau

Mireille Courteau

Stéphanie Plante

Pierre Cambon

Annie Giguère

Isabelle Leroux

Danielle St-Laurent

Denis Roy

Jaime Borja

André Néron

Geneviève Landry

Jean-François Ethier

Roxanne Dault

Marc-Antoine Côté-Marcil

Pier Tremblay

Sonia Quirion

Objectives Growing attention has been given to considering sex and gender in health research. However, this remains a challenge in the conte… (see more)xt of retrospective studies where self-reported gender measures are often unavailable. This study aimed to create and validate a composite gender index using data from the Canadian Community Health Survey (CCHS). Methods According to scientific literature and expert opinion, the GENDER Index was built using several variables available in the CCHS and deemed to be gender-related (e.g., occupation, receiving child support, number of working hours). Among workers aged 18–50 years who had no missing data for our variables of interest ( n = 29,470 participants), propensity scores were derived from a logistic regression model that included gender-related variables as covariates and where biological sex served as the dependent variable. Construct validity of propensity scores (GENDER Index scores) were then examined. Results When looking at the distribution of the GENDER Index scores in males and females, they appeared related but partly independent. Differences in the proportion of females appeared between groups categorized according to the GENDER Index scores tertiles ( p 0.0001). Construct validity was also examined through associations between the GENDER Index scores and gender-related variables identifi

2020-01-13

Canadian journal of public health (published)

Call for Papers: Novel Informatics Approaches to COVID-19 Research

Hua Xu

David Buckeridge

Fei Wang

2020-01-01

(published)

www.semanticscholar.org

Intelligent Tools for Precision Public Health.

Anya Okhmatovskaia

David Buckeridge

2020-01-01

MIE (published)

Defining ‘actionable’ high- costhealth care use: results using the Canadian Institute for Health Information population grouping methodology

Maureen Anderson

Crawford W. Revie

Henrik Stryhn

Cordell Neudorf

Yvonne Rosehart

Wenbin Li

Meriç Osman

David Buckeridge

Laura C. Rosella

Walter P. Wodchis

2019-11-10

International Journal for Equity in Health (published)

Fluoroquinolone Use and Seasonal Patterns of Ciprofloxacin Resistance in Community-Acquired Urinary Escherichia coli Infection in a Large Urban Center

Jean-Paul R Soucy

Alexandra M. Schmidt

Caroline Quach

David Buckeridge

2019-10-29

American Journal of Epidemiology (published)

Evaluation of a web-based tool for labelling potential hospital outbreaks: a mixed methods study

B. Leclère

David Buckeridge

D. Lepelletier

2019-10-01

Journal of Hospital Infection (published)