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NVRA Partners with Rad AI for Continuity, the Next Generation of AI-driven Patient Follow-up

NVRA Partners with Rad AI for Continuity, the Next Generation of AI-driven Patient Follow-up

NVRA, the first in Connecticut to use Rad AI Omni to automate impressions, selects Continuity for its class-leading 90%+ patient follow-up resolution rates and positive impact on patient care

Waterbury, CT (March 31, 2023) -- Naugatuck Valley Radiology (NVRA) has expanded their partnership with Rad AI by choosing Continuity for its incidental findings tracking and management solution.

“Having greatly benefited from using Rad AI Omni, we are thrilled to add Continuity to our current partnership with the team at Rad AI. The management of incidental findings in radiology reports is a key focus for our group as it’s incredibly beneficial for the patients we serve. After evaluating every vendor in this space, we found that Continuity provides the most automated and most comprehensive solution in follow-up management.”
-Dr. Geoff Manton, NVRA President

Rad AI Continuity leverages the most advanced AI algorithms to seamlessly identify, track, and manage incidental findings in radiology reports, with the highest degree of automation. In combination with Omni, it is able to increase the total number of clinically appropriate follow-ups, delivering 90%+ follow-up compliance -- far more than any other product on the market.

“Clinical literature has shown consistently that anywhere from 40% to 80% of follow-up recommendations are not followed up. These are necessary follow-ups for patients with potential cancer and other actionable findings, and it’s an important and urgent problem that both radiology practices and health systems are working to solve. NVRA continues to demonstrate its leadership and commitment to excellent patient care by choosing Continuity. The combination of Rad AI Omni and Continuity, which NVRA will now use, is uniquely differentiated in the market. Omni helps ensure that radiology report conclusions are accurate and complete, including follow-up recommendations based on nationally accepted consensus guidelines. In synergy with Continuity’s automated follow-up care coordination platform, this results in many more patients receiving clinically appropriate follow-up imaging, and being diagnosed and treated promptly.”
-Dr. Jeff Chang, co-founder and Chief Product Officer at Rad AI

About Naugatuck Valley Radiology:

Over the thirty years since its founding, Naugatuck Valley Radiology has grown to a 12-Radiologist subspecialized practice and expanded into a full-service imaging network, providing a delivery system combined with the most advanced high-tech resources available.

NVRA has continued to provide a full-service imaging network with focused diagnostic health care, reaching out into the greater Waterbury, CT community. Since 1975, NVRA continues to offer patients, physicians, and healthcare networks a full range of high-quality and affordable diagnostic imaging.

NVRA is a physician-owned company that operates and manages 4 outpatient imaging centers. All Naugatuck Valley Radiology affiliated centers have earned the Diagnostic Imaging Center of Excellence designation awarded by the American College of Radiology.

Learn more about NVRA at www.nvranet.com.

About Rad AI:

Rad AI is the fastest growing radiologist-led AI company. In addition to being named “Best New Radiology Vendor” by AuntMinnie in October 2021, Rad AI was listed as one of the Digital Health 150 by CB Insights, as one of the most innovative digital health startups. In 2022, Black Book ranked Rad AI #1 in Mean KPI score, on its survey of 50 emerging solutions challenging the healthcare technology status quo, and Rad AI was recognized to the AI 100 by CB Insights, as one of the world’s 100 most promising private AI companies.

Founded in 2018 by the youngest radiologist in U.S. history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 8 of the 10 largest private radiology practices in the U.S. Rad AI uses state-of-the-art machine learning to streamline repetitive tasks for radiologists and automate workflow for health systems, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care.

Learn more about Rad AI at www.radai.com or on Twitter @radai.

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