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Case Study - No More Pajama Time: Next Generation Ambient Technology and Agents

Date

Wed, Jun 25, 2025, 05:00 AM

Hosted by: Nabla


Clinician burnout and workforce shortages are pushing the system to its limits. But health systems that have adopted ambient AI are already seeing a transformation—reduced administrative burdens, improved clinician satisfaction, and better patient outcomes. So, what’s next?


This webinar explores how next-generation ambient technology and AI agents can reconnect clinicians with the core of their profession—caring for patients. Healthcare leaders will share strategies for integrating AI to enhance well-being, boost retention, and drive sustainable workforce models.


Session learning objectives:

Learning objective 1:

Understand the strategic drivers behind adopting ambient AI in clinical settings. Participants will learn how leading health systems like Carle Health and Denver Health identified key challenges—such as clinician burnout, inefficiencies in documentation, and after-hours workload—and why ambient AI emerged as a high-impact solution.


Learning objective 2:

Explore implementation strategies that accelerate clinician adoption and improve outcomes. Attendees will gain insight into practical methods for driving successful rollout and adoption of ambient AI tools, including change management approaches that foster trust, reduce resistance, and deliver measurable improvements in time savings, satisfaction, and patient experience.


Learning objective 3:

Envision the future of care with agentic AI and its impact on workforce sustainability. Participants will discover how ambient technology is evolving toward agentic AI—intelligent systems that proactively assist clinicians—and how this next generation of tools can help address workforce shortages, improve clinician retention, and drive long-term ROI.

Instructions to Receive Credit:

This activity provides (credit) CHIME continuing education credits. To receive credit, participants should watch the video AND complete the session evaluation.



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