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AGFA HealthCare and Rad AI Announce Strategic Collaboration to Enhance Radiology Workflows

AGFA HealthCare and Rad AI Announce Strategic Collaboration to Enhance Radiology Workflows

AGFA HealthCare and Rad AI are announcing a strategic collaboration to enhance radiology workflows.

CHICAGO, Dec. 2, 2024 -- AGFA HealthCare and Rad AI are announcing a strategic collaboration to enhance radiology workflows. Building on its leadership in Enterprise Imaging, AGFA HealthCare is raising the bar withRad AI Reporting and FHIRcast integration. These cutting-edge solutions ,powered by AI-driven reporting, enable radiologists to work faster, smarter, and with greater precision. By addressing critical workflow inefficiencies,AGFA HealthCare and Rad AI are not just setting the industry standard in data exchange and interoperability — they are shaping the future of radiology.  

The partnership's success was showcased this summer at the Integrating the Healthcare Enterprise (IHE) Connectathon, where AGFA HealthCare and Rad AI demonstrated their commitment to advancing healthcare technology. They became the first vendors in the industry to earn the prestigious IHE Connectathon Seal for testing and validating the use of theIntegrated Reporting Applications profile in radiology.

By adopting these open IHE standards, AGFA HealthCare and Rad AI are set to deliver improved interoperability — enhancing efficiency and helping to minimize errors.Key findings — such as measurements, image numbers, and dates — now automatically populate in Rad AI Reporting, eliminating the need for manual entry. Inefficiencies in radiology workflows contribute to stress and burnout among radiologists and the communication between radiology PACS and reporting systems has historically been limited.

John Paulett, Chief Architect of Rad AI Reporting, highlights the significance of the strategic collaboration between AGFA HealthCare and Rad AI:

"Rad AI Reporting is designed from the ground up to be flexible and open, built around standards to provide efficient integration with other vendors and healthcare systems. The collaboration between Rad AI and AGFA HealthCare demonstrates how interoperability drives innovation. We worked closely together to integrate in record time, and the result is a connected experience the radiology community has been desiring for a long time,” Paulett stated.  

The collaboration between AGFAHealthCare and Rad AI offers a seamless experience – exceeding what is traditionally thought possible between a PACS and a reporting environment.

"At AGFA’s User GroupMeeting and Rad AI’s Partner Summit, radiologists and administrators were excited by our solution, highlighting how it addresses long-standing challenges and gives radiologists back the time they need to focus on patient care — an essential benefit as growing demands continue to stretch radiology teams," said MarkBurgess, President, North America for AGFA HealthCare.

“Open standards ensure that the time and resources, which you invest in deploying mission critical software for your health system, can evolve with your changing needs. This gives you peace of mind that you won’t need to rip and replace in the future,” said Josh Duncan, Senior VicePresident of Sales, Marketing, & Customer Success at Rad AI. “This partnership is reshaping the radiology landscape, meeting current demands and preparing for future challenges.”

"As healthcare evolves rapidly, our collaboration with Rad AI enables us to deliver flexible, connected solutions that overcome the limitations of legacy reporting integrations," said Rob Mayer, Chief Product Officer for AGFA HealthCare. "By embracing an open platform strategy, AGFA HealthCare and Rad AI are driving the next phase of radiology innovation." 

About AGFA HealthCare

At AGFA HealthCare, we are transforming the delivery of care –supporting healthcare professionals across the globe with secure, effective, and sustainable imaging data management. As a company, we are dedicated to our customers, and we have harnessed a value framework of Mission, Vision and Customer Delivery Principles into our routine operations. Through these principles, we commit a consistent high-yield code of conduct to our associates– channeling our experience and aspirations to all of our stakeholders.  Our Empowerer profile supports our focus on creating an exceptional experience through the power of technology and is an integral foundation to our company standards. AGFA HealthCare is a division of the Agfa-Gevaert Group. For more information on AGFA HealthCare, please visit www.agfahealthcare.com and follow us on LinkedIn.

 AGFA and the Agfa rhombus are registered trademarks of Agfa-Gevaert N.V.Belgium or its affiliates. All rights reserved. All information contained herein is intended for guidance purposes only, and the characteristics of the products and services described in this publication can be changed at any time without notice. Products and services may not be available for your local area.Please contact your local sales representative for availability information.AGFA HealthCare diligently strives to provide as accurate information as possible but shall not be responsible for any typographical error.

AGFA HealthCare Contact:

Jessica Baldry, Global Marketing & Communications, jessica.baldry@agfa.com 

About Rad AI

Rad AI is the leader in generative AI solutions for radiology, transforming the way radiologists work and improving patient care. The company's flagship product, Rad AI Reporting, streamlines radiology reporting with AI-driven technology and empowers radiologists to achieve greater efficiency, accuracy, and satisfaction. Rad AI Impressions, the company's pioneering product, established Rad AI as an innovator in generative AI for radiology; as the first generative AI application to achieve widespread adoption in radiology, it is now trusted by thousands of U.S. radiologists. Rad AI Continuity, the most comprehensive solution of its kind, provides AI-driven patient follow-up.

Rad AI is the fastest-growing radiologist-led AI company and has been recognized as one of the most promising healthcare AI companies by CB Insights (Digital Health 50, AI 100) andAuntMinnie (Best New Radiology Software of 2023, Best New Radiology Vendor of 2021). An Accenture report in December 2023 highlighted Rad AI as having the highest influence score and brand buzz of any private company in radiology, solidifying its position as a leader in the field.

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