Radiology has always been a race against time. The quicker an image is captured, interpreted, and shared, the sooner clinical decisions can be made. Yet, in many hospitals, radiologists still deal with slow systems, scattered tools, and administrative hurdles that drain valuable time. As imaging volumes continue to grow each year, the cracks in traditional …

Revolutionising Radiology Workflows: How Nandico PACS Powers Faster, Smarter Reporting Read More »

Dr. Nguyen in Singapore just finished reviewing a complex abdominal CT. She needs a second opinion from a subspecialist in London. In the past, sharing studies across borders meant emails, exports, and waiting for access—time that patients couldn’t afford to lose. With Nandico PACS, that collaboration happens instantly. It’s not just about speed; it’s about …

Teleradiology Excellence: How Nandico PACS Powers Global Radiologist Collaboration Read More »

Dr. Mehta puts on his AR headset and stares at the knee MRI floating in front of him. For years, he squinted at flat slices on a screen, trying to imagine how bones, ligaments, and vessels fit together. Now, he can spin the image around, zoom in, and almost hold the anatomy in his hands. …

3D Imaging & AR: The Next Diagnostic Frontier for Radiologists Using Nandico PACS Read More »

Ask any radiologist what their biggest challenge is today, and you’ll usually hear the same answer: it’s not the clinical complexity—it’s the constant pressure of moving through an oversized worklist with tools that slow them down. The volume is rising, studies are getting heavier, and expectations for turnaround time haven’t loosened in years. Somewhere in …

From Workload to Workflow: How Nandico PACS Simplifies the Radiologist’s Everyday Routine Read More »

AI, Automation & Data Intelligence Radiologists see countless studies each day, from routine chest X-rays to complex multi-modality scans. Every case carries nuances—subtle findings that can be easy to miss when fatigue sets in, or the reading list grows long. In today’s era of AI and automation in medical imaging, PACS systems are no longer …

Learning from Every Image: How Machine Learning in Nandico PACS Enhances Diagnostic Accuracy Read More »

In radiology, every second counts. A delayed scan, a frozen workstation, or a PACS outage can throw an entire reading room off balance. For radiologists, downtime isn’t just inconvenient—it can delay patient care, disrupt schedules, and create unnecessary stress.
Radiologists have long struggled with PACS systems that falter under pressure.

When Dr. Rao finished a night shift from home, he realized just how much time he spent waiting for studies to load. A single high-resolution CT could take minutes over traditional networks. Minutes he didn’t have. Minutes that mattered to patients. Radiologists face this challenge every day: how to read studies quickly, accurately, and from anywhere.

Radiologists see hundreds of studies every day. In the middle of this constant flow, urgent cases can get buried. Every second counts, and missing a critical finding isn’t an option. By 2026, radiologists won’t settle for PACS systems that simply store images—they will demand systems that actively help them identify urgent findings and prioritize cases efficiently.

In the last decade, radiology has undergone constant pressure—from higher study volumes to the demand for faster turnaround times and increasingly complex diagnostic expectations. As we move toward 2026, radiologists are no longer just asking for incremental improvements in their PACS for radiologists. They want a system designed around their workflow, not a generic imaging platform that forces them to adapt.