RadNet, Inc. (NASDAQ: RDNT), a national leader in providing
high-quality, cost-effective diagnostic imaging services through a
network of owned and operated outpatient imaging centers, announced
today that ONRAD, Inc. (“ONRAD”), a national full-service radiology
provider has selected RadNet’s DeepHealth OS to advance its next
generation of radiology services. By utilizing the cloud-native and
modular capabilities of DeepHealth OS, ONRAD will implement a
customized solutions roadmap targeted to streamline its clinical
and operational workflows, enhancing productivity, and ultimately
improving patient outcomes through AI-powered, unified data
integration.
ONRAD manages more than 1.4 million exams annually and provides
comprehensive radiology services to over 120 customer facilities in
the U.S., including teleradiology, onsite radiologist staffing,
interventional radiology, Quality Assurance/peer review reading,
and payor billing.
“We were looking for an innovative, well capitalized technology
partner who is committed to commercializing leading-edge radiology
solutions,” said Dave Engert, President and CEO of ONRAD. “As our
operations expand rapidly, the scalability and reliability of
DeepHealth’s cloud-native architecture will play a crucial role in
meeting our evolving needs. By transitioning our operations from
traditional radiological technologies to pioneering the deployment
of a cloud-native imaging workflow ecosystem powered by AI, we are
committed to enhancing care delivery for both patients and
providers,” Mr. Engert added.
DeepHealth OS is a modular, secure, and scalable cloud-native
operating system that creates personalized AI-powered workspaces
for teams working across the radiology workflow. The workspaces
give all stakeholders access to integrated data in a connected
workflow and secure environment, enhancing collaboration, access,
and efficiency for radiologists, technologists, and clinical and
operating staff.
ONRAD will implement various solutions enabled by DeepHealth OS,
including a streamlined and fast viewer, enhanced technology
functionalities, and smart reporting features. Additionally,
DeepHealth OS will enable ONRAD with efficient integration of
proprietary and third-party AI applications into a single
Diagnostic Workspace. DeepHealth OS is designed to be interoperable
with existing hardware and software systems as a result of its
modular and cloud-native architecture.
“We are gratified that ONRAD has chosen DeepHealth OS to power
its enhanced radiology services,” stated Kees Wesdorp, PhD,
President and CEO of RadNet’s Digital Health division. “With our
DeepHealth solutions, we seek to enable an integrated radiology
workflow that harnesses advanced AI to address both clinical and
operational challenges in high-volume care settings, empowering
breakthroughs in care by unlocking the value of imaging. The heart
of our portfolio, DeepHealth OS, empowers us to build solutions
tailored to different customer needs, all while delivering the
latest technology at scale in a way that is human-centric and
intuitive to use,” he added.
DeepHealth solutions are trusted by radiologists and healthcare
providers across the globe. Key elements of DeepHealth technology
are currently used by over 350 customers worldwide. DeepHealth OS
serves as the anchor to DeepHealth’s integrated portfolio of health
informatics solutions designed to increase operational efficiency,
clinical confidence, and better delivery of care. It aims to drive
the evolution of existing technologies and systems by promoting the
adoption of cloud and AI applications in radiology operations,
effectively catering to diverse customer settings and technology
environments.
DeepHealth OS will be formally launched and demonstrated at the
Radiological Society of North America (“RSNA”) conference in
Chicago in December 2024.
About RadNet, Inc.RadNet, Inc., is the leading
national provider of freestanding, fixed-site diagnostic imaging
services and related information technology solutions (including
artificial intelligence) in the United States based on the number
of locations and annual imaging revenue. RadNet has a network of
398 owned and/or operated outpatient imaging centers. RadNet’s
markets include Arizona, California, Delaware, Florida, Maryland,
New Jersey, New York and Texas. In addition, RadNet provides
radiology information technology and artificial intelligence
solutions marketed under the DeepHealth brand and other related
products and services to customers in the diagnostic imaging
industry. Together with affiliated radiologists, and inclusive of
full-time and per diem employees and technologists, RadNet has a
total of over 10,000 employees. For more information, visit
http://www.radnet.com.
About DeepHealth, Inc.DeepHealth is a
wholly-owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and serves
as the umbrella brand for all companies within RadNet's Digital
Health division. DeepHealth provides AI-powered health informatics
with the aim of empowering breakthroughs in care through imaging.
Building on the strengths of the companies it has integrated and is
rebranding (eRAD Radiology Information and Image Management Systems
and Picture Archiving and Communication System, Aidence lung AI,
DeepHealth and Kheiron breast AI, and Quantib prostate and brain
AI), DeepHealth leverages advanced AI for operational efficiency
and improved clinical outcomes in lung, breast, prostate, and brain
health. At the heart of DeepHealth’s portfolio is a cloud-native
operating system - DeepHealth OS - that unifies data across the
clinical and operational workflow and personalizes AI-powered
workspaces for everyone in the radiology continuum. Thousands of
radiologists at hundreds of imaging centers and radiology
departments around the world use DeepHealth solutions to enable
earlier, more reliable, and more efficient disease detection,
including in large-scale cancer screening programs. DeepHealth’s
human-centered, intuitive technology aims to push the boundaries of
what's possible in healthcare. https://deephealth.com/
Forward Looking StatementsThis press release
contains “forward-looking statements” within the meaning of the
safe harbor provisions of the U.S. Private Securities Litigation
Reform Act of 1995. Forward-looking statements, including
statements regarding the capabilities of the DeepHealth health
informatics product portfolio, artificial intelligence solutions,
the DeepHealth OS and each’s impact on radiology practices and
healthcare workflow, are expressions of our current beliefs,
expectations and assumptions regarding the future of our business,
future plans and strategies, projections, and anticipated future
conditions, events and trends. Forward-looking statements can
generally be identified by words such as: “anticipate,” “intend,”
“plan,” “goal,” “seek,” “believe,” “project,” “estimate,” “expect,”
“strategy,” “future,” “likely,” “may,” “should,” “will” and similar
references to future periods.
Forward-looking statements are neither historical facts nor
assurances of future performance. Because forward-looking
statements relate to the future, they are inherently subject to
uncertainties, risks and changes in circumstances that are
difficult to predict and many of which are outside of our control.
Our actual results and financial condition may differ materially
from those indicated in the forward-looking statements. Therefore,
you should not place undue reliance on any of these forward-looking
statements.
For DeepHealth media inquiries, please
contact:Andra AxenteDirector of CommunicationsMobile: +31
614440971Email: andra.axente@deephealth.com
For RadNet, Inc. media inquiries, please
contact:Mark StolperExecutive Vice President and Chief
Financial Officer310-445-2800
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