Winning Best in KLAS for Speech Recognition: Front-End Imaging for the fifth consecutive year is an honor – but it is not the headline of this story.
The real story is what sits behind the recognition: thousands of radiologists trusting Fluency for Imaging every day, under real clinical pressure, to deliver fast, accurate, and dependable reporting. And just as important, it is about how we at Jacobian are building on that trust to actively shape the future of radiology reporting.
A trusted foundation - earned in daily clinical reality
The latest KLAS Report confirms what we hear consistently from the field.
Across 23 surveys from 21 healthcare organizations, Fluency for Imaging achieved an overall score of 88.3, placing it firmly among the top-performing reporting solutions in radiology.
Radiologists point to the same strengths again and again:
- Exceptional voice recognition accuracy, even with accents and fast natural dictation
- Seamless integration into PACS, RIS, and EHR environments
- Minimal disruption, low maintenance, and dependable offline safeguards
In radiology, reliability is not a feature - it's the baseline for patient care. Fluency for Imaging has earned that trust over many years, and we do not take it lightly.
Why Jacobian exists: Combining proven performance with AI excellence
At the same time, we interpret the feedback in a very clear way: tomorrow’s value will not be defined by reliability alone.
That is exactly why Jacobian was created.
Jacobian brings together two complementary strengths:
- Fluency for Imaging, with its unmatched stability, workflow integration, and installed base trust
- Smart Reporting, with deep medical knowledge modelling, structured and semi-structured data expertise, and a future-ready GenAI architecture
Together, they form something fundamentally different from a traditional reporting vendor.
Our goal is not to replace what works. It is to amplify it.
From reporting efficiency to workflow intelligence
Radiologists are telling us they want more than speed. They want relief from cognitive load, smarter automation, and workflows that adapt to clinical context.
This is where GenAI and workflow automation come into play - not as standalone tools, but as native capabilities embedded directly into reporting:
- AI-assisted summarization and impression support
- Intelligent automation that reduces repetitive manual steps
- Context-aware guidance that supports consistency and quality
- Reporting workflows that feel invisible, not intrusive
By uniting Fluency for Imaging with Smart Reporting, Jacobian is uniquely positioned to deliver this evolution without breaking existing workflows. A point our customers care deeply about.
It's why we have already successfully migrated more than 150 customers to Jacobian from legacy platforms such as PowerScribe 360.
Honest feedback and clear direction
Feedback of customers also highlights areas where the industry expects more: smarter templating, stronger training and adoption models, and faster visible innovation cycles.
We agree with that assessment - and we are acting on it.
But it is important to be clear about one thing: this is not a story of catching up. It is a story of building forward on a foundation others do not have.
Very few companies in radiology have:
- The scale and trust of Fluency for Imaging
- Deep clinical knowledge modelling from Smart Reporting
- A clear, focused mandate to modernize reporting with GenAI, responsibly and at scale
Jacobian does.
What the Best in KLAS recognition really means to us
Best in KLAS is not a signal that the journey is complete. It is a signal that the foundation is strong enough to move faster and with confidence.
Our responsibility is not just to preserve what radiologists trust today. It is to lead the next chapter of radiology reporting: one where AI augments human expertise, workflows become simpler instead of more complex, and reporting evolves into a true intelligence layer within diagnostic imaging.
That is the future we are actively building at Jacobian – together with our customers, not behind them.