Imaging Volumes Are Exploding. AI May Be the Only Way to Keep Up

Radiology is facing a tough challenge—more scans, but not enough radiologists to keep up. Forward-thinking organizations are embracing AI to help address this challenge. RamSoft has chosen to embed AI directly into radiology workflows to ensure its platform enhances efficiency without adding complexity.

Healthcare IT Today recently had the opportunity to learn more about the positive impact is having on radiology from Vijay Ramanathan, CEO at RamSoft – a digital healthcare company that has a long, successful history in the imaging/radiology space. We caught up with Ramanathan at #HIMSS25 in Las Vegas.

Key Takeaways

1. Radiology needs AI. With rising imaging volumes and fewer radiologists, AI is helping bridge the gap by streamlining workflows and reducing manual effort.
2. Smarter triage means faster diagnoses. AI-powered worklists help prioritize urgent cases, ensuring patients with critical findings get results sooner and start treatment faster.
3. Radiology IT systems don’t operate in isolation. Imaging must connect seamlessly with EHRs and other clinical systems, making CIOs key players in ensuring smooth interoperability.

AI Is No Longer Optional in Radiology

Radiology has always been at the forefront of technology adoption. Radiologists were among the first in healthcare to go digital, moving away from film-based imaging and embracing electronic workflows. Today, they’re leading again—this time in AI adoption. But they aren’t looking for standalone AI tools.

“What we’re hearing loud and clear from our customers is: ‘We want AI to just be embedded in the workflow,’” said Ramanathan.

His team has responded by incorporating AI scribe technology into their platform, allowing radiologists to simply start speaking while AI generates the report in real time.

This demand for seamless integration extends beyond AI scribes.

AI-powered triage tools are helping radiologists prioritize urgent cases faster, ensuring patients with critical findings don’t wait longer than necessary. RamSoft has partnered with NewView for intelligent case prioritization, ensuring that high-risk cases get flagged and reviewed sooner (see this press release for more details).

“The majority of patients with positive findings will get bumped right to the top of the radiologist’s worklist,” Ramanathan explained. “That way, before the patient even leaves the center, they might be able to find out their results.”

Why IT Leaders Need to Pay Attention

While radiology departments are leading the charge in AI adoption, IT leaders play a crucial role in ensuring these technologies integrate seamlessly with broader hospital systems. That’s because imaging is not an isolated function and medical images need to be accessible across multiple clinical applications, including EHRs.

“Radiology is interconnected with every other discipline in healthcare,” Ramanathan emphasized. “And the CIO is the one that makes that connectivity happen.”

With AI delivering immediate ROI in imaging, it is a logical starting point for IT teams looking to implement AI solutions with tangible results. But to unlock AI’s full potential, CIOs must ensure radiology systems can share data effortlessly with the rest of the hospital’s digital infrastructure.

A More Connected Future for Healthcare IT

As AI adoption accelerates in radiology, it highlights a broader truth: no digital health solution exists in isolation. Imaging, AI, EHRs, and operational systems must work together seamlessly to prevent bottlenecks and maximize their impact. The future of healthcare IT won’t be shaped by any single technology but by how well these systems connect. CIOs who prioritize interoperability today, especially with high-value, high-impact areas like radiology, will be the ones shaping a smarter, more efficient healthcare system for tomorrow.

Learn more about RamSoft at https://www.ramsoft.com/

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