Recording of the Webinar Series: The Power of Population Data Science
Courtesy of Population Data BC

Population Data BC logo

 

We are delighted to present the recordings from the brand new Population Data BC webinar series entitled ‘The Power of Population Data Science’. This series aims to highlight the value of data linkage and related data-intensive analytics by profiling some of the most recent articles that have been published right here in IJPDS, by national and international Population Data Scientists.

This webinar series will be of particular interest to researchers, analysts, health professionals and members of the public who are interested in learning more about Population Data Science and how work in this emerging field is making substantive contributions to informing population health-related policies for the betterment of our communities.

 

Overview

The world of rapidly expanding data has provided many new and challenging opportunities to address a myriad of issues facing human populations. Population Data Scientists see the potential social and individual benefits that can be realized through data-intensive analytics and collaborative work involving data linkage methods. Data linkage allows information on an individual from one data source to be linked to information on the same individual from another data source. Using the linked data makes it possible to gain a more comprehensive understanding than could be obtained from either data source individually.

Linked data used for secondary analysis often involves population-based, longitudinal data that was originally collected for another purpose. Linkage may take place across data sets in a single domain (e.g. health) or across domains (e.g. health, education, environment, and early childhood). This work can provide an unbiased picture of the entire population, is cost-effective, relative to other data collection mechanisms, and enables studies to be done that could not otherwise be performed.

The use of linked data to support better health outcomes exists across many research areas, for example:

  • Analysing patient characteristics, treatment costs and outcomes of care to identify the most cost effective healthcare, thereby influencing provider behavior
  • Applying advanced analytics to patient profiles (e.g., segmentation and predictive modeling) to identify individuals who would benefit from preventative care or lifestyle changes
  • Disease profiling to identify predictive events and support prevention measures

 

Seminar Program

Creation of the first national linked colorectal cancer dataset in Scotland: prospects for future research and a reflection on lessons learned
April 29 2021

Dr Catherine Hanna, CRUK Clinical Trials Unit, UK

Dr Elizabeth Lemmon, University of Edinburgh, UK

Dr Peter Hall, Edinburgh Cancer Centre, UK

Steve Clark, Bowel Cancer Intelligence (BCI) UK, Bowel Cancer UK and Cancer Research UK, UK


Air Pollution, housing and respiratory tract Infections in Children: National birth Cohort study (PICNIC)
March 24, 2021

Dr Pia Hardelid, University College London, UK
Dr Graziella Favarato, University College London, UK


Development of a prognostic prediction model to estimate the risk of multiple chronic diseases
March 11 2021

Jason Black, Western University, Canada

Jaky Kueper, Western University, Canada


Enabling Insight: Tools for Exploration and Data Quality Assessment of Administrative Data Files
March 3 2021

Zachary H. Seeskin, University of Chicago, USA

Kiegan Rice, University of Chicago, USA

 

Developing a Data Integrated COVID-19 Tracking System for Decision-Making and Public Use
December 9 2020

Dr. Tyler Williamson, University of Calgary, Canada

Alexander Krusina, University of Calgary, Canada

Danielle Southern, University of Calgary, Canada

 

Unlocking the Potential of Electronic Health Records for Health Research
September 30 2020

Adam D'Souza, University of Calgary, Canada

Frank Lee, Department of Community Health Sciences, University of Calgary, Canada

 

Why the Public Needs a Say in How Patient Data are Used for Covid-19 Responses
September 23 2020

Dr Mhairi Aitken, Department of Community Health Sciences, Newcastle University Business School, UK

Dr Stephen Elstub, Newcastle University, UK

 

Achieving quality primary care EMR data: a description of the Canadian Primary Care Sentinel Surveillance Network data in Alberta
July 29 2020

Stephanie Garies, Department of Community Health Sciences, University of Calgary, Canada

Michael Cummings, Department of Family Medicine, University of Alberta, Canada

 

Power of Population Data Science Webinar - The concept dictionary and glossary at MCHP: Tools and Techniques to Support a Population Research Data Repository
February 13 2020

Leslie L. Roos, Faculty of Medicine, University of Manitoba, Canada

Ken Turner, Manitoba Centre for Health Policy (MCHP), Canada

 

Developing a multi-jurisdictional, comparable measure of osteoporosis screening performance from administrative health data
February 6 2020

Jaky Kueper, Western University

Dr Waseem Alsabbagh, University of Waterloo

Dr Sabrina Wong, University of British Columbia

 

Data file orientation toolkit: Enabling Administrative Data Quality Assessment
November 14 2019

Zachary H. Seeskin, University of Chicago, USA

 

Lessons learned: It takes a village to understand inter-sectoral care using administrative data across jurisdictions
Scheduled October 27 2019

Dr. Patti Groome, Department of Public Health Sciences, Queen’s University, Canada

Mary McBride, School of Population and Public Health at the University of British Columbia, Canada

Cynthia Kendell, Nova Scotia Health Authority, Canada

Dr. Kathleen Decker, CancerCare Manitoba, Canada

 

Record linkage to enhance consented cohort and routinely collected health data from a UK birth cohort
Scheduled August 29 2019

Karen Tingay, Office for National Statistics (ONS), UK

 

Sharing linked data for research: Results from a public engagement event in BC, Canada
May 29 2019

Jack Teng, Population Data BC, Canada


Consensus Statement on Public Involvement and Engagement with Data-Intensive Health Research
May 8 2019

Mhairi Aitken, Newcastle University, UK

Prof. Sarah Cunningham-Burley, University of Edinburgh, UK


The Good, the Bad, the Clunky: Improving the Use of Administrative Data for Research
March 13 2019

Kerina Jones, Swansea University, UK


Family matters: High school graduation and sibling influence
February 13 2019

Elizabeth Wall-Wieler, Stanford University, USA


Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: Managing the morass
January 24 2019

Fiona Lugg-Widger, Cardiff University, UK
Mike Robling, Cardiff University, UK


A Pan-Canadian Data Resource for Monitoring Child Developmental Health: The Canadian Neighbourhoods and Early Child Development (CanNECD) Database
January 23 2019

Magdalena Janus, McMaster University, Canada
Mike Robling, University of British Columbia, Canada
Note: Do not cite/reproduce any information from this recorded presentation without permission by the authors. For further details please contact: Dr. Magdalena Janus - janusm@mcmaster.ca


The Canadian Chronic Disease Surveillance System: A model for collaborative surveillance
January 9 2019

Lisa Lix, University of Manitoba, Canada


Multi-jurisdictional epidemiological research in Canada: Challenges and opportunities
December 5 2018

Amanda Butler, Simon Fraser University, Canada
Wayne Jones, Centre for Applied Research in Mental Health and Addiction, Canada


Visualising Logistic Regression: Application of coloring book technique
November 6 2018

Dr. Andriy Koval, University of Central Florida, USA


Probabilistic linkage of national immunisation and state-based health records for a cohort of 1.9 million births to evaluate Australia’s childhood immunisation program
October 25 2018

Dr. Heather F Gidding, University of New South Wales, Australia
Dr. Hannah Moore, Telethon Kids Institute, Australia


Future Directions in Probabilistic Linkage
October 11 2018

Dr. James Doidge, University College London, UK
Dr. Harvey Goldstein, University of Bristol and University College London, UK


Are you a Population Data Scientist?
September 27 2018

Dr. Kim McGrail, University of British Columbia, Canada
Dr. Kerina Jones, Swansea University, UK