Artificial Intelligence (AI) offers transformative potential for biomedical informatics, improving diagnostics,
personalizing treatment, and accelerating research. Yet real-world deployment faces challenges such as algorithmic bias,
data interoperability, ethical concerns, and scalability constraints; risks that may widen health disparities if unaddressed.
This three‑hour participatory workshop uses the Consolidated Framework for Implementation Research (CFIR) to surface practical
strategies from both high‑resource and LMIC contexts, culminating in a co-created, generalizable framework for equitable AI implementation.
Participatory format: Attendees actively contribute to breakout discussions and the synthesis of a practical implementation framework.
Educational Objectives
Analyze challenges and opportunities for AI in biomedical informatics across settings.
Apply CFIR to systematically assess and address implementation barriers.
Co‑create a set of actionable strategies adaptable to diverse healthcare environments.
Promote locally led, sustainable approaches that advance health equity.
Program & Schedule
Program runs from 8:30 AM to 12:00 PM.
8:30 – 9:20 · Panel Presentations
Short, insight‑dense talks (10 minutes each) from experts mapping real deployments to CFIR domains: intervention, outer/inner settings, individuals, and process. Talks highlight what worked, what failed, and the evidence behind each approach.
Each panel presentation will last approximately 10 minutes.
9:20 – 9:50 · Poster Session & Walk
Guided walk‑through of accepted posters featuring implementation studies and case reports from HIC and LMIC contexts. Authors get rapid feedback; attendees collect concrete tactics and contacts for future collaboration.
9:50 – 10:40 · Breakout Groups
Participants join small groups, each focused on a CFIR domain. Moderators guide structured discussion to identify barriers, facilitators, and actionable strategies for AI deployment across settings (HIC & LMIC). Groups capture concise bullets for plenary.
10:40 – 11:30 · Report Out & Synthesis
All groups reconvene to share findings. We compare strategies across domains and co‑create a generalizable framework for equitable AI deployment. The synthesis will be shared publicly.
Process: Planning, execution, monitoring, iterative improvement and scale‑up.
Submissions · Call for Posters
We invite poster submissions aligned with the themes of this workshop: real‑world challenges and solutions for AI deployment in biomedical informatics.
Deadlines are designed to allow at least two weeks for printing after notification.
Opportunities
Selected posters will be showcased in our interactive poster walk. The organizing team is coordinating special invitations for accepted posters to submit to PLOS Digital Health and Frontiers in Digital Health special topics.