How do you build genuine trust in Artificial Intelligence (AI) within a clinical setting—especially one as data-intensive as radiology? East Alabama Medical Center (EAMC) recently took on this challenge as part of the American College of Radiology (ACR) ImPower program. By actively engaging stakeholders, sharing data openly, and ensuring that AI solutions align with clinical priorities, EAMC fostered an environment where clinicians and radiologists view AI as a valuable partner rather than a threat.
In the session “Building Trust in AI: A Collaborative Approach in Radiology at EAMC,” leaders from EAMC, the ACR Learning Network, and Inflo Health detailed their journey. They explained how early engagement with radiologists, clear communication of expected outcomes, and ongoing feedback loops allowed EAMC to tap into the full potential of Inflo Health’s AI platform. Their efforts not only improved patient safety and strengthened radiology workflows but also laid the groundwork for sustainable AI adoption across the organization.
"Inflo had a seat at our table and were team members from the very beginning. They were willing to put in the time and effort. They met us every step of the way. And in end, I think we have a very collaborative partnership with Inflo Health." Melinda Johnson, MBA, RT, RDMS, RVT, Radiology Director for EAMC
Key Takeaways:
- Early Stakeholder Engagement: EAMC involved radiologists, clinicians, and administrators from the start, ensuring that all voices were heard before the AI rollout.
- Transparent Data Sharing: By openly communicating how AI-derived data would be used, EAMC eliminated uncertainty and enhanced the perceived reliability of the technology.
- Demonstrated Results: Tangible improvements—like increased follow-up completion rates and reduced manual workload—proved AI’s value, winning over skeptics.
- Leadership Support: Backing from senior executives ensured that AI initiatives weren’t just a “tech experiment” but a strategic investment aligned with organizational goals.
- Alignment with Clinical Priorities: Framing AI as a tool to support, not displace, clinician expertise ensured that trust extended beyond the pilot phase and into long-term operational benefits.
EAMC’s story shows that healthcare organizations can confidently embrace AI with the right strategies—early stakeholder involvement, transparent data practices, strong leadership backing, and a clear clinical purpose. The result is not just improved workflows, but a more engaged and confident care team poised to deliver the highest quality of patient care.
“When AI visibly improves patient care and makes clinicians’ work easier, doubts fade and trust naturally follows.” – Kandice Garcia Tomkins, MS, RN, Quality Improvement Director, ACR Learning Network