AI in Healthcare Forum
Embedding AI into the DNA of Healthcare
The HIMSS26 AI in Healthcare Forum gets real about AI beyond the hype. This year, we’re breaking down barriers and building bridges to embed AI into the DNA of healthcare. Access, transparency, accountability: these are the launchpad for driving real-world impact. As AI moves through its “trough of disillusionment,” we’ll explore solutions that enhance clinical workflows and demonstrate measurable value, not just promises.
Healthcare professionals face significant barriers: outdated systems, lack of clear guidelines, and no roadmap in sight. Many lack the knowledge, authority, and confidence to use AI safely in their daily work. This forum builds AI literacy and establishes clear permission frameworks where they’re needed most: on the frontlines.
Discover how forward-thinking organizations align executive ROI priorities with frontline clinical needs. Learn approaches that transform traditional healthcare tensions into opportunities for meaningful innovation. Through relevant case studies, you’ll gain practical strategies to create solutions that deliver both financial sustainability and improved care experiences—connecting boardroom objectives with real clinical impact.
Learning Objectives
- Analyze the current state of AI implementation in healthcare, identifying key barriers and opportunities for embedding AI into organizational workflows beyond the hype cycle.
- Evaluate various AI integration strategies to determine which approaches best balance executive ROI demands with frontline clinical needs in different healthcare settings.
- Design an organizational AI readiness framework that addresses the specific challenges of your healthcare environment, incorporating appropriate governance structures, training protocols, and ethical considerations for equitable implementation.
Potential Topics
- Workforce & organizational AI readiness: Activating practical AI skills across your enterprise.
- Strategic AI integration: From add-on to essential infrastructure.
- Frameworks for quantifying and measuring impact and value: AI’s multidimensional ROI.
- Making AI accessible to rural and underserved communities.
- Strategies for scaling successful pilots to enterprise-wide implementation.
- Real-world applications: AI that delivers value (and it may not be Gen AI).
- Ethical & equitable implementation: AI for all.
Who Should Attend?
- CEO/COO
- Chief Data Officer
- Chief Digital Officer/Chief Digital Health Officer
- Chief Clinical Transformation Officer
- CIO/CTO/CTIO/Senior IT
- Clinical Informaticist
- Data Scientist
- IT Professional
- VP of other IT/IS Department