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3M M*Modal AI-powered radiology speech reporting solution is again honored by the #1 Best in KLAS award for the third consecutive year

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3M Health Information Systems' M*Modal Fluency for Imaging wins the #1 Best in KLAS award four times in a row, surpassing all other front-end speech recognition solutions in the diagnostic imaging speech recognition segment. Delivering high accuracy, overall performance, and interoperability, this AI-powered solution aims to revitalize the radiologist's documentation experience, mitigating rework, administrative burden, and burnout. The 2024 Best in KLAS: Software and Services report recognizes 3M for its commitment to delivering top-ranking, innovative solutions and services to its clients, signifying top performing solutions that go above and beyond in terms of functionality, performance, and customer service.
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ST. PAUL, Minn., Feb. 7, 2024 /PRNewswire/ -- 3M Health Information Systems (HIS) today announced that 3M™ M*Modal Fluency for Imaging is now a four-time #1 Best in KLAS award winner in the Speech Recognition: Front-End Imaging category in the 2024 KLAS Research annual software and services report. According to the KLAS report, 3M Fluency for Imaging surpasses all other front-end speech recognition solutions in the diagnostic imaging speech recognition segment.

"We read almost two million exams per year, so it's mission critical for us to have a speech solution that we can rely on," said Dr. Jonathan Clemente, chief of the department of radiology at Carolinas Medical Center and neuroradiologist with Charlotte Radiology. "3M Fluency for Imaging has made a big difference in how we dictate and create reports – it's well deserved that the solution is the industry leader in its category."

Delivering high accuracy, overall performance and interoperability, 3M Fluency for Imaging is an artificial intelligence (AI)-powered advanced speech understanding and workflow management reporting solution. It is designed to revitalize the radiologist's documentation experience with the creation of faster, better, easier reports. Leveraging conversational AI, built-in computer-assisted physician documentation (CAPD) functionality delivers proactive insights in real time within the reporting workflow to mitigate rework, administrative burden and burnout.

"At a time when radiology departments and practices strive to improve the quality of care while containing costs in a highly competitive environment, we are very proud to be recognized as a leader in the imaging front-end speech recognition segment," said Garri Garrison, president of 3M HIS. "This award only reaffirms our commitment to delivering top ranking, innovative solutions and services to our clients, and we are grateful for their endorsement of our client-first mission."

The 2024 Best in KLAS: Software and Services report recognizes companies that are committed to helping healthcare professionals deliver better patient care. Based solely on client feedback collected via confidential interviews and product evaluations over a one-year period, winning the award signifies top performing solutions that go above and beyond in terms of functionality, performance and customer service. The Best in KLAS award ceremony will be held on March 11, 2024, in Orlando during the 2024 HIMSS Conference (visit the 3M HIS booth # 2241 at HIMSS).

For more information about 3M M*Modal's top ranking radiology speech reporting solutions, visit www.3m.com/imaging

To read the full 2024 Best in KLAS report click here.

About 3M

3M (NYSE: MMM) believes science helps create a brighter world for everyone. By unlocking the power of people, ideas and science to reimagine what's possible, our global team uniquely addresses the opportunities and challenges of our customers, communities, and planet. Learn how we're working to improve lives and make what's next at 3M.com/news.

About KLAS

KLAS is a research and insights firm on a global mission to improve healthcare. Working with thousands of healthcare professionals and clinicians, KLAS gathers data and insights on software and services to deliver timely reports and performance data that represent provider and payer voices and act as catalysts for improving vendor performance. The KLAS research team publishes reports covering the most pressing questions facing healthcare technology today, including emerging technology insights, that provide early insights on the future of healthcare technology solutions. KLAS also fosters measurement and collaboration between healthcare providers and payers and best practice adoption. Learn more at klasresearch.com

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SOURCE 3M Company

FAQ

What is the significance of 3M Health Information Systems' M*Modal Fluency for Imaging winning the Best in KLAS award?

3M's M*Modal Fluency for Imaging has won the #1 Best in KLAS award four times in a row, surpassing all other front-end speech recognition solutions in the diagnostic imaging speech recognition segment. This signifies top performing solutions that go above and beyond in terms of functionality, performance, and customer service.

What are the key features of 3M Fluency for Imaging?

3M Fluency for Imaging is an AI-powered advanced speech understanding and workflow management reporting solution designed to revitalize the radiologist's documentation experience with the creation of faster, better, easier reports. It delivers high accuracy, overall performance, and interoperability, leveraging conversational AI and built-in computer-assisted physician documentation (CAPD) functionality.

What is the Best in KLAS: Software and Services report based on?

The Best in KLAS: Software and Services report is based solely on client feedback collected via confidential interviews and product evaluations over a one-year period, recognizing companies committed to helping healthcare professionals deliver better patient care.

Where will the Best in KLAS award ceremony be held?

The Best in KLAS award ceremony will be held on March 11, 2024, in Orlando during the 2024 HIMSS Conference. Visitors can also visit the 3M HIS booth # 2241 at HIMSS for more information.

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