Solventum Fluency for Imaging Tops KLAS Awards for Speech Recognition in 2025

Solventum Fluency for Imaging Ranks #1 in KLAS Awards



In the realm of radiology, efficiency and accuracy are paramount. Solventum™ Fluency™ for Imaging, an innovative AI-driven solution from Solventum (NYSE: SOLV), has once again claimed the title of #1 in the prestigious KLAS Awards for Speech Recognition in the 2025 edition, marking its fifth consecutive year of recognition. This accomplishment underscores the effectiveness of Solventum’s tool in enhancing documentation processes within the field.

Streamlined Reporting for Radiologists



Solventum Fluency for Imaging is designed to significantly improve how radiologists create reports. The software empowers medical professionals to produce faster and more precise documentation while minimizing unnecessary administrative tasks. This efficiency not only saves time but also alleviates the burdens that contribute to radiologists' burnout, allowing them to focus better on patient care.

Dr. Charles Q. Li, a neuroradiologist and IT officer at the Allegheny Health Network, has been utilizing this solution for over a decade. He states, "The exceptional voice recognition accuracy and continuous reliability of Solventum's radiology solution have positively impacted our workflow. This technology has lifted the repetitive clerical load off our radiologists, boosting both efficiency and job satisfaction. It truly sets the standard for industry reporting solutions."

KLAS Research's Annual Awards



The KLAS Awards are highly regarded in healthcare and are determined by direct feedback from users who share their experiences through confidential interviews and evaluations of the products over a year. The criteria cover six key areas: value, product quality, customer loyalty, relationship strength, operational capabilities, and cultural integration. Winning an award in this highly competitive landscape signifies that the solution goes above and beyond in those pillars.

Garri Garrison, president of Health Information Systems at Solventum, expressed pride in their technology's role amidst the overwhelming workloads faced by radiology practices today. He mentioned, "As the demand for high-quality care increases while trying to control costs, we’re committed to supporting radiologists in managing these challenges effectively. Winning this recognition from KLAS reflects our dedication to excellence and reliability in healthcare technology."

The Impact on Healthcare



In an era where healthcare technology continues to evolve, tools like Solventum Fluency for Imaging are critical to ensuring that healthcare professionals can deliver the best possible patient care. The software integrates seamlessly into existing workflows, ensuring that radiologists can adapt quickly without disrupting their processes. This adaptability is crucial in a field where time and accuracy can have significant implications for patient outcomes.

As healthcare evolves, innovations brought forth by companies like Solventum pave the way for a future where technology and human expertise work hand in hand to improve lives.

About Solventum



Solventum is dedicated to enabling smarter, safer healthcare solutions that enhance the quality of patient care. With a rich legacy of innovation, the company is focused on developing groundbreaking technologies melding health, material, and data sciences to revolutionize patient experiences and empower medical professionals.

Learn more about Solventum and its services at Solventum.com.

About KLAS



KLAS is a research and insights firm on a global mission to improve healthcare. Engaging with thousands of healthcare professionals, KLAS gathers data to provide insights into software and services, fostering an environment that encourages collaboration between healthcare providers and technology vendors to enhance overall service delivery.

For more insights on the current trends in healthcare technology, visit klasresearch.com.

Topics Health)

【About Using Articles】

You can freely use the title and article content by linking to the page where the article is posted.
※ Images cannot be used.

【About Links】

Links are free to use.