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2018 IPDLN conference

A record-setting 530 delegates from 17 countries attended the three-day IPDLN Conference. Our theme, Linking Data - Improving Lives, inspired discussion of research and innovation in the area of linked population data science and policy impact. The overall themes of the 461 abstracts presented built on previous work done by the IPDLN as well as relevant emerging health data linkage areas such as such as data and linkage quality, data linkage methodology, pan-jurisdictional and cross-sectoral data linkage, emerging data types, privacy, regulation and governance, data analytics, and data linkage for policy development.

 

We hope you found IPDLN 2018 valuable and it moves you to share your data linkage experiences with other like-minded people.

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KEYNOTE SPEAKERS
EVENT INFORMATION
IMPORTANT LINKS

2018 IPDLN Conference – Science Slam

The 2018 International Population Data Linkage Network (IPDLN) Conference hosted the “2018 IPDLN Science Slam”, an opportunity for presenters to share their research to a diverse audience in an entertaining way.

SCIENCE SLAM PRESENTATION
01
Mr. Parkinson or a Parkinson's, the disease?

Presenter: Mahmoud Azimaee – ICES

Watch video

SCIENCE SLAM PRESENTATION
02
A proposed IPDLN 2020 keynote address

Presenters: Elliot Martin and Adam D’Souza – O’Brien Institute for Public Health

Watch video

SCIENCE SLAM PRESENTATION
03
How to journal: a view from the inside

Presenter: Dr. Kerina Jones – Swansea University

SCIENCE SLAM PRESENTATION
04
The bizarre and wonderful world of ICD coding

Presenters: William Ghali, Hude Quan, Danielle Southern, Alyssa Lam and Cathy Eastwood – O’Brien Institute for Public Health

SCIENCE SLAM PRESENTATION
05
Linkage to patients’ medical history risk factors for PCI mortality and readmission indicators

Presenter: Chantal Couris – CIHI

SCIENCE SLAM PRESENTATION
06
“Shhh” or “Tell the world” – one family’s experience with genetic test results

Presenters: Alison Paprica – Vector Institute

Pre-conference workshop information

Informative pre-conference workshop sessions tied to the conference theme of Linking Data - Improving Lives were held on September 11, 2018. The six half-day workshops provided an opportunity for hands-on participation and small-group discussion with knowledgeable facilitators.

WORKSHOP
01
Public engagement/ involvement (PE/I) in data-intensive health research – why and how to do it

Presenters: Mary Tully - Don Willison

Objectives: 
  • understand the similarities and differences between PE/I in different types of research
  • know how to identify which groups of the public they should engage with
  • know how to choose from common methods to engage with the identified groups
  • understand the ethics and challenges of doing PE/I in data-intensive health research
WORKSHOP
02
Leadership, governance and risk management for research projects

Presenter: Alison Paprica

Objectives: 
  • Recognize that people leading research projects sometimes need to make trade-offs between scope, schedule and budget.
    Describe important risks that can negatively affect research projects and be able to develop risk responses for those risks.
    Understand governance bodies including the roles and benefits that can come from having one or more of: a Research Executive Team, an Executive Sponsor, a Steering Committee or and Advisory Committee.
    Establish and implement a process that allows a research team or governance body to come to a decision in cases where there isn’t immediate consensus among members
WORKSHOP
03
Documenting the data warehouse: a SAS®-based hands-on workshop

Presenters: Mark Smith - Say Hong - Dave Towns - Ken Turner

Objectives: 
  • identify the variety of documentation tools and resources available at MCHP (which can be downloaded and transferred to any data management environment)
    learn how documentation is automatically generated for the Data Quality Report and Metadata Repository via live demonstration of the tools we have developed;
    learn how to run the Data Quality macros on a sample dataset and how to interpret the results;
    identify and discuss the integration capabilities between the various documentation tools and resources
WORKSHOP
04
Detecting potentially misdiagnosed dementia cases via classification

Presenter: Athanasios Anastasiou

The workshop is based on real world experience that has been captured in the following two publications:

Objectives: 
  • An in-depth exposition to Machine Learning classification terminology and methodology and how they relate to the real-world healthcare environment.
  • Practical hands on application of the theory to a realistic scenario involving dementia.
  • Participant’s pack including: A Virtualbox instance with all required software and data set-up and ready to go. This is for the participants to keep. This is not a training tool, this is a production ready environment that participants can keep and apply what they learn from their course at their own time
WORKSHOP
05
Developing your research career as a health data scientist: a 360 degree view

Presenters: Colin McCowan - Georgina Moulton

Developing your research career as a health data scientist: a 360 degree view (PDF Presentation)

Researcher Development Framework (PDF Presentation)

Objectives: 
  • To identify key skills that are required by a data scientist.
  • To assess your proficiency in the core skills and identify potential training needs.
  • To align core skills with broader academic researcher development (VITAE).
  • To explore and develop an understanding of the benefits of team data science.
  • To create a personalised career development plan
WORKSHOP
06
The LIDIC hackathon: LInked Data Innovation Challenge

Presenter: Lisa Lix

The LIDIC hackathon: LInked Data Innovation Challenge (Lisa Lix PDF Presentation)

LIDIC hackathon: socioeconomic-mortality linked data (Claudia Sanmartin PDF Presentation)

Objectives: 
  • To encourage innovative thinking about complex linked databases
    To stimulate interdisciplinary and inter-jurisdictional data collaborations
    To facilitate an environment for creative thinking about data
    To promote networking amongst participants

 

Large friendly letters presentation (PDF)

Control-Alt-Elite presentation (PDF)

Hackathon information for participants (PDF)

THANK YOU TO OUR SPONSORS

We are grateful to our 2018 IPDLN conference sponsors for helping us create this forum for the presentation and discussion of research and innovation in the area of Linked Population Data Science and Policy Impact.

The 2018 IPDLN Conference coloured sponsors