A distinguished panel featuring Kandice Garcia Tomkins, MS, RN, Quality Improvement Director of the ACR Learning Network, Mary Carter Gilbert, BSN, RN, Clinical Outcomes Coordinator in the EAMC Office of Patient Safety, and Angela Adams, RN, CEO of Inflo Health, explains how the ACR ImPower Program methodology can be executed across the pillars of people, processes, and technology. Using EAMC’s success story as a centerpiece, we explore how the ACR ImPower Program helps healthcare organizations engage with cutting-edge technology solutions and learn alongside industry leaders.
EAMC’s AI Transformation: A Success Story
EAMC leadership recognized AI’s unmatched potential to solve complex data, information, and communication challenges. By partnering with the ACR ImPower Program, EAMC embraced a structured framework for success. The provider’s relationship with Inflo Health, an ACR Preferred Vendor, proved crucial. Leveraging the ImPower Program’s framework, EAMC implemented Inflo Health’s AI to automate follow-up for incidental lung nodules. As a result, EAMC achieved remarkable results, including a 74% increase in follow-up rates, a 95% boost in staff efficiency, and a significant enhancement in patient safety.
This recorded webinar explores how EAMC “bent the curve” on critical outcomes: improving patient safety, enhancing clinical and radiology staff efficiency, and mitigating patient and organization risks. The panel discusses why AI implementations often fail, citing a lack of early engagement and leadership buy-in, and provides actionable steps to ensure alignment between people, processes, and technology from the start.
Learning Objectives
- Identify the key reasons why AI implementations fail and how to avoid common pitfalls by engaging technology early in the problem-solving process.
- Cultivate a mini-startup culture within your organization to integrate AI with people, processes, and funding strategies effectively.
- Leverage data-driven insights and leadership buy-in to drive sustainable quality improvements in radiology workflows
This webinar was recorded Tue, Oct 29, 2024 1:00 PM – 2:00 PM (UTC-05:00) Eastern Time (US & Canada)
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