Rad AI

This month's issue looks at the importance of asking the right question when choosing an AI partner — and what’s at risk if you don’t. Plus: How a leading health system prioritized replacing a legacy reporting system with a modernized reporting platform and partnership that emphasized collaboration and ongoing innovation. Read the full issue below. 👇

While concerns about making a big change are valid, many health systems are finding that the greater risk is in making no change. In this blog, we explore five of the most common concerns organizations have about transitioning reporting platforms, and why they shouldn’t prevent you from modernizing: https://lnkd.in/ed_jT_ew

A feature list can tell you what a radiology reporting platform is designed to do. It can’t tell you how well it will perform in your environment or how the vendor will respond when challenges arise. Our latest infographic breaks down what to look for beyond features, with firsthand insights from leaders at Yale New Haven Health, Emory University School of Medicine and Radiologic Associates of Fredericksburg who have successfully navigated a reporting transition. Explore the infographic: https://hubs.la/Q04v7t810 

Radiology reports were once written primarily for referring physicians. Today, patients may read their results before speaking with their care team. Read more about how this shift is changing the way radiologists approach clarity, concision and the words they choose. https://lnkd.in/gN8ayNfZ

Selecting the right reporting platform is about more than replacing outdated tech. It’s about choosing the right solution to take your team into the future. In this blog, we share five ways that Rad AI Reporting differentiates itself from other solutions, ensuring that your organization is meeting the needs of today while preparing for what’s to come. Read blog: https://lnkd.in/gcmybfP6

Great AI isn’t just about software. It’s also about the team behind it. In this video, Elias Kikano, MD, Division Director of Imaging Informatics at Emory University, shares how continued support and having a responsive partner built confidence long after deployment, ultimately leading them to transition their reporting solution to Rad AI.

When is a reporting transition the right next step? For many organizations, the turning point comes when workforce shortages, continued growth or persistent workflow challenges expose a widening gap between what the organization needs and what its current platform can support. Leaders from Yale New Haven Health, Emory University School of Medicine and Radiologic Associates of Fredericksburg each reached the decision through a different path but faced the same fundamental question: Can our current platform support what comes next? Read the blog to explore how they evaluated the need for change: https://lnkd.in/gb3Uw_aK

The best AI for radiology is built with radiologists, not just for them. In this video, Elias Kikano, MD, Division Director of Imaging Informatics at Emory University, shares why Rad AI's radiologist-led approach stands out, highlighting the value of building solutions with direct input from the clinicians who rely on them every day.

Ask a radiologist what they wish more people understood about their profession, and you probably won’t hear much concern about AI replacing them. We recently spoke with 12 radiologists across career stages, subspecialties and practice settings about why they chose radiology, what gets in the way of doing their best work and where they see the profession going next. What emerged was a conversation about the intellectual curiosity that drew them to the field, the growing burden of inefficiency and the opportunity for AI to give radiologists more time to practice as the physicians, consultants and experts they trained to be. https://hubs.la/Q04tj19_0

Speed gets the attention, but quality is what matters. Ken Ford III, MD, MBA, FACR, of American Radiology Associates, P.A., discusses how Rad AI Reporting helped him report faster, reduce fatigue and create impressions that are more complete and more tailored to what clinicians need.