From Evaluation to Scale: A Blueprint for Ambient Artificial Intelligence Success

Tuesday, March 10, 2026 3:30 PM to 4:30 PM · 1 hr. (US/Pacific)
Level 5 | Palazzo N
Education Sessions
Artificial Intelligence in Healthcare

Information

As artificial intelligence (AI) solutions flood the healthcare market, health systems face growing pressure to distinguish between hype and tools that can truly transform operations. This session offers a behind-the-scenes look at how Cleveland Clinic rigorously evaluated, implemented and scaled ambient AI across more than 80 specialties—not just as a technology point solution, but as a strategic initiative to reduce administrative burden, augment clinician workflows and transform system performance. Attendees will learn how a data-driven approach enabled enterprise-wide deployment aligned with clinical, operational and financial goals. Key outcomes included a 67 percent reduction in cognitive burden (as reported by piloting clinicians), nearly 50 percent fewer after-hours charting hours and industry-leading clinician adoption. Presenters will share actionable lessons on vendor selection, workflow integration and performance measurement. The takeaway: when thoughtfully deployed, ambient AI can move beyond pilot promise to deliver measurable enterprise-wide improvements to documentation efficiency, clinician well-being and patient care.

Topic
AI Applications for Operational, Administrative, and Strategic Transformation
Target Audience
CEO/COOChief Digital Officer/Chief Digital Health OfficerCIO/CTO/CTIO/Senior IT
Level
Introductory
Format
Case Study
CEU Type
ACPECAHIMSCMECNECPDHTSCPHIMSPMI/PDU
Contact Hours
1.00
Learning Objective #1
Evaluate ambient AI documentation solutions using a structured, cross-functional approach that ensures clinical accuracy, specialty alignment, seamless EHR integration, and coding compliance, emphasizing the essential role of stakeholders, including Revenue Cycle, in solution selection and implementation
Learning Objective #2
Design scalable implementation strategies that drive systemwide ambient AI adoption through clinician engagement, specialty-specific workflows and continuous feedback monitoring
Learning Objective #3
Classify enterprise-level analytics to measure documentation time savings, ensure notes and coding are accurate, and track how broadly and consistently clinicians are adopting the technology across specialties
Session #
76

Log in

See all the content and easy-to-use features by logging in or registering!