Montreal declaration on the responsible use of artificial intelligence #cahsprforum2019
Diagnostic cinglant établi par Tom Noseworthy (University of Calgary) sur le système de santé canadien. #CAHSPRforum2019.
Whirlwind of ideas from Drs. Walter Wodchis & Laura Rosella from population health perspective on how to use AI (#MachineLearning) to identify “what works for whom” #CAHSPRforum2019.
Great presentation on risk stratification by @LauraCRosella at #CAHSPRforum2019 Slides here on Diabetes were very interesting. Love the discussion of multiple sources of data. Healthcare, sdoh, social media et c.
@LauraCRosella is presenting on the use of #IA for improving population Health @CAHSPR #CAHSPRforum2019.
More thought provoking ideas from @wwodchis on #AI. Polypharmacy point seems right on to me. #CAHSPRforum2019.
The client experience of signing some online privacy declarations. So easy to do this. Presentation about ethical and legal considerations in implementing AI from @mjdykeman at #CAHSPRforum2019.
Mary Jane Dykeman: Current consent processes relating to data use in health care are illusionary. Great slide! #cahsprforum2019.
#CAHSPRforum2019 isn’t kidding when they use the heading “big questions”: What is the future state toward which we are/should be working?.
Discussion at #CAHSPRforum2019 on how Humans and AI interact to make plans in Radiation Oncology and other areas @UHN.
Tom Purdie (University of Toronto): For tumor detection, machine learning permits automated structure detection and automated radiation treatment planning, most of the time better than humans. (Reformulated) #CAHSPRforum2019.
Dr. David Jaffray @UHN @technainstitute summarizes critically important data considerations for advancing #AI and healthcare ...governance of data as a core competency of digitally-enabled hc #CAHSPRforum2019.
David Jaffray (University Health Network): After Big Data revolution, we need to build a Big Machine to enable the data to be found, accessed, and operated upon (reformulated) #CAHSPRforum2019.
A new acronym (to me) in the context of governance in aligning perspective and technology. FAIR - Findable Accessible Interoperable Reusable. #CAHSPRforum2019.
Real-world evidence and real-world data for drug safety and effectiveness Viewpoint article cited by David Jaffray @UHN #CAHSPRforum2019.
Met Alberta doctor @DrMattHenschke at #cahsprforum2019. He wrote his Clinic’s EHR..
[email protected] raises the question of what the implications are for learning health care systems when advancements in deep learning are so rooted in open science but there are unquie ethical and privacy constraints to health care applications. #CAHSPRforum2019 @CAHSPR.
Excellent presentations on the first day of the #CAHSPRforum2019.
10) Terminology and language is important and dynamic. Key areas to focus on when trying to ‘sell’ LHS ideas is jurisdiction and health area dependent. #CAHSPRforum2019.
Montreal declaration on the responsible use of artificial intelligence #cahsprforum2019.
Eloquent problem statement by @mariejoseehebe1 on #AI in LHS ar #CAHSPRforum2019 “With $1bn invested in AI in Qc the pace of change in AI is logarithmically different than in healthcare; Canada has a leadership role & responsibility” (my paraphrase) Consider this timeline:.
Learning Health Systems Review at #CAHSPRforum2019 by @forumHSS Here his top ten lessons on a slide: From.
Kicking off the #CAHSPRforum2019 with an excellent commentary on the rapid learning health system from McMaster’s @forumHSS John Lavis. This is a model that everyone - patients, clinicians, technologists - can see themselves in. Big opportunity for our health system..
@forumHSS encourages #CAHSPRforum2019 participants to capitalize on the many current windows of opportunity to advance rapid learning health systems in Canada @CAHSPR.
Denis Roy kicking off the #CAHSPRforum2019 on Artificial Intelligence and Learning Health Systems. How to make two good ideas happen in the Canadian Health System.
A good day for the @CAHSPR Policy Forum. Hope to fill my AI gaps. #cahsprforum2019.