The Mechanics of Clinical AI Adoption at Scale
Attendees will learn how thoughtful workflow design and trust-building can help AI reduce cognitive burden rather than contribute to clinician burnout.
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Summary
Organizations are rapidly introducing AI into clinical environments, but adoption depends on more than the technology itself. Even promising tools can fail when they require physicians to switch between systems, copy and paste information, or add new steps to already demanding workflows.
In this on-demand webinar, Dr. Amit Phull, an emergency physician and computer scientist with deep experience leading large-scale healthcare technology deployments, explores the operational and behavioral mechanics required to make clinical AI work at scale. Drawing on lessons from deploying nationwide digital networks, including rapidly scaling telehealth access to more than 800,000 clinicians, he examines how organizations can move beyond standalone AI tools and design technology that fits naturally into the clinician’s core environment.
Attendees will learn how thoughtful workflow design and trust-building can help AI reduce cognitive burden rather than contribute to clinician burnout.
Key Takeaways:
Register to View On-Demand
Summary
Organizations are rapidly introducing AI into clinical environments, but adoption depends on more than the technology itself. Even promising tools can fail when they require physicians to switch between systems, copy and paste information, or add new steps to already demanding workflows.
In this on-demand webinar, Dr. Amit Phull, an emergency physician and computer scientist with deep experience leading large-scale healthcare technology deployments, explores the operational and behavioral mechanics required to make clinical AI work at scale. Drawing on lessons from deploying nationwide digital networks, including rapidly scaling telehealth access to more than 800,000 clinicians, he examines how organizations can move beyond standalone AI tools and design technology that fits naturally into the clinician’s core environment.
Attendees will learn how thoughtful workflow design and trust-building can help AI reduce cognitive burden rather than contribute to clinician burnout.
Key Takeaways:
- How to overcome clinical resistance and build lasting adoption habits among busy physicians.
- Lessons from rapidly deploying trusted technology across large, distributed clinical networks.
- How to design AI tools that eliminate tasks and workflow friction instead of adding new interfaces and steps.
- Why successful clinical AI adoption requires treating AI as part of the clinician’s workflow, not as another standalone product.
Provider: Healthcare Innovation | Language: English