Presentations

Playing Telephone: Interdisciplinary Study of Medication Decision Making Across Prescribers, Patients and Pharmacists, at 2017 NAPCRG Annual Meeting, Sunday, November 19, 2017

Kelly Grindrod; Catherine Burns; Jessie Chin; Maman Joyce Dogba; Line Guénette; Lisa Guirguis; Damla Kerestecioglu; France Legare; Annette McKinnon; Kate Mercer; Khrystine Waked

Context: In shared-decision making (SDM), clinicians and patients works together to make treatment decisions that includes patient values and preferences. For medications, most SDM research has focused on interactions between prescriber and patient or patient and pharmacist but not the interdisciplinary collaboration across disciplines. Objective: To study how electronic health records (EHRs) and...

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Fighting Fire with AI: Using Artificial Intelligence to Improve Modelling and Decision Making in Wildfire Management, at Banff International Research Station, Banff, Alberta, Canada, Friday, November 17, 2017:
BIRS2017.pdf
I was invited to speak at this week-long workshop at the fabulous BIRS facility in Banff Alberta. The workshop was entitled "Forest and Wildland Fire Management: a Risk Management Perspective" which brought together a wide range of experts and stakeholders from across Canada as well as some researchers from around the world to discuss the latest research on Forest Fire Management. It was an incredibly productive week that built many new connections. Read more about Fighting Fire with AI: Using Artificial Intelligence to Improve Modelling and Decision Making in Wildfire Management
Using Deep Learning and Reinforcement Learning to Tame Spatially Spreading Processes, at University of Waterloo, Wednesday, October 25, 2017

This was an invited talk for the Waterloo Institute for Complexity and Innovation (WICI) seminar series. The talk was recorded and can be watched from WICI's website here.

Abstract:

Recent advances in Artificial Intelligence and Machine Learning (AI/ML) allow us to learn predictive models and control policies for larger, more complex systems than ever before. However, some important real world domains such as...

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Building Bridges: How Research Changes in Multi-Disciplinary Patient Inclusive Settings , at CAPT 2017, Monday, October 23, 2017

Mercer K, Waked K, Burns C, Dogba J, Dolovitch L, Guenette L, Guirguis L, Jenkins L, Legare F, McKinnon A, Grindrod K.

Objective: To describe how engaging patients and other disciplines can change conclusions in qualitative health services research. Approach/Methods: A recent qualitative research project included a multi-disciplinary research team of health care professionals, engineers, information specialists, health systems specialists and patients. From this, two papers are being developed: 1) patient perspective on shared decision making; 2) healthcare professionals and...

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BIRC Workshop On Deep Learning In Medicine, at University Hospital, London, Ontario, Canada, Monday, August 28, 2017:
deeplearningmedprez_-_final.pdf

This all-day workshop brough together researchers, students and medical professionals from medical imaging, image processing and machine learning to discuss what the new class of machine learning algorithms known collectively as Deep Learning are, how they are and could be used for medicine and what the impacts for medicine as a whole are of this technology. The workshop was hosted by the Biomedical Imaging Research Centre (BIRC) at the University of Western Ontario. I gave an introductory...

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