This meeting will explore the role that goal-based computable biomedical knowledge, models developed to address specific problems, will continue to play in the era of generative AI - including the role generative AI itself can play in advancing the vision embodied by the MCBK Manifesto to improve human health by mobilizing computable knowledge around the world.
New to MCBK? Attend the Pre-Meeting!
Register for free for the 2024 Mobilizing Computable Biomedical Knowledge (MCBK) Global Meeting. This meeting will be entirely virtual with session times to accommodate the global audience.
MAIN MEETING - Wednesday, October 23, 2024 (October 24 in Asia and Australia)
Pre-Meeting - Tuesday, October 22, 2024 (October 23 in Asia and Australia)
The third global meeting will have two sessions each day to accommodate our global participants.
October 23 (October 24 in Asia and Australia) will be the Main Meeting, with more in-depth discussions on MCBK topics. The live sessions for the Main Meeting will be:
Main Meeting Session 1
Main Meeting Session 2
October 22 (October 23 in Asia and Australia) will be the Pre-Meeting, aimed at those who are new to MCBK. The live sessions for the Pre-Meeting will be:
Pre-Meeting Session 1
Pre-Meeting Session 2
Meeting Speakers
Philip R.O. Payne, PhD, FACMI, FAMIA, FAIMBE, FIAHSI
Presentation Title: Artificial Intelligence and the Learning Health System: Digitally Transforming Healthcare and Decision-Making
The foundations for building a Learning Health System (LHS) include both access to multi-scale data derived from the Electronic Health Record (EHR) and complementary sources, as well as the use of contemporary Artificial Intelligence (AI) methods to derive insights from those data. This presentation will explore critical questions that can and should be answered when building such an AI-enabled LHS and ultimately delivering actionable knowledge in the right time, place, and format.
Enrico Coiera, MB BS Syd, PhD UNSW, FACMI, FACHI
Presentation Title: The Measure of AI
Evaluating AI in real world use poses substantial challenges, especially for regulators. The unique characteristics of Generative AI, including non determinism of performance, accentuates these challenges. This talk will review the nature of the regulatory challenge, and explore possible options for real-world evaluation of AI, and especially generative AI.
Susan Lacey Bryant, MS
Presentation Title: On a mission to put knowledge to work: where do librarians play into knowledge mobilisation?
Today’s health library teams are focused on ensuring knowledge can be Used. Sue will highlight roles involved, the growing focus on KM and how emerging tech is being applied to knowledge solutions.
Erik Schultes, PhD
Presentation Title: What if a global infrastructure for Computable Biomedical Knowledge was ready tomorrow?
Meeting Program
Pre-Meeting Program
Call for Lightning Talks
Lightning talks are brief, focused presentations of current work to mobilize CBK. Selected presenters will pre-record three-minute presentations with a maximum of five slides. Abstracts of all accepted lightning talks will be published in the Learning Health Systems open access journal. Some submissions not selected for presentation will still be included in the published set.
SUBMITTING YOUR LIGHTNING TALK ABSTRACT
Deadline: Submit your MCBK lightning talk Abstract by Tuesday, September 3 at 5:00 PM U.S. Eastern Time.
Using the form available here, provide an abstract of no more than 500 words describing the content of your proposed lightning talk along with your author(s) information and the thematic area(s) addressed (see below).
Submitted lightning talks must conform to at least one of the following thematic areas:
Synergy between goal-based CBK and generative AI
CBK governance and policy
Standards, interoperability, metadata for CBK
Technical models and infrastructures for CBK
CBK content creation
Ethics, equity, inclusion, & trust related to CBK
Evaluation of real world CBK implementation
Education for CBK
All lightning talks should address the concept of MCBK as described in the MCBK Manifesto.