- DeepHealth’s integrated portfolio aims to address challenges across the entire radiology value chain, from referral management, scheduling, and patient engagement to technologist and radiologist workflow.
- Advanced AI is deeply embedded to improve operational efficiency, clinical confidence, and patient outcomes.
- The portfolio of solutions is anchored by a cloud-native operating system (DeepHealth OS) that unifies data across clinical and operational workflow and personalizes AI-powered workspaces for everyone across the radiology continuum.
National Harbor, MD, June 27, 2024 – Today, DeepHealth, Inc., a wholly owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and global leader in AI-powered radiology and health informatics, is showcasing its integrated portfolio of solutions at the Society for Imaging Informatics in Medicine (SIIM) 2024 Annual Meeting and Informatics TECH Expo (June 27-29th).
DeepHealth’s technology is intended to improve clinical efficiency and performance, from referral and patient scheduling to driving standardized image acquisition, reporting, and follow-up.
Empowering healthcare providers by creating a unified operational and clinical care continuum
The cloud-native DeepHealth Operating System (OS) synthesizes all facets of radiology operations and clinical workflow into a single, integrated platform. This approach customizes workflows tailored to the needs of each user across the care continuum.
“There is great potential for AI beyond clinical use, to help deliver a more seamless experience for patients and everyone involved in the care delivery process. I am encouraged by the prospect of the DeepHealth OS enhancing the efficiency of our staff and clinicians by ensuring that workflow is well-coordinated and that appropriate stakeholders have ready-access to appropriate clinical and patient data,” said Victoria Bedel, Senior Vice President of Operations, RadNet. “Managing operations of over 90 imaging centers in New York City, Long Island, and Rochester (NY), scalability and reliable access to data is critical for our ability to meet the dynamic demands of our patients and referring physicians.”
DeepHealth currently enables the deployment of enterprise imaging through its eRAD Radiology Information System (RIS) and Picture Archiving and Communication System (PACS) capabilities and is introducing the DeepHealth OS that will support the transition of “on-prem” health systems to cloud-native AI-enabled radiology operations. Key elements of DeepHealth’s technology are currently used in over 300 radiology departments and imaging centers in select countries.
“Moving to the cloud is a transformational journey for any health system. At DeepHealth, we have the clinical and operational knowledge to understand our customers’ specific needs and to be their partner on this journey. By leveraging DeepHealth OS, we can help customers streamline workflows, enable better care delivery, and improve both the staff and patient experience,” said Dr. Sham Sokka, Chief Operating and Technology Officer, DeepHealth. “We are delivering our latest technology at scale in a way that is user-friendly and intuitive.”
Join DeepHealth at SIIM 2024
On Friday, June 28 from 11:00 AM – 12:00 PM ET, Dr. Sokka will participate in a panel discussion, “Navigating The Next Frontier: Generative AI’s Transformative Impact On Radiology”, alongside other key industry leaders, to explore insights on adopting Generative AI in radiology, lessons learned, and successful integration strategies.
Attendees can speak with experts at booth #725-727 to learn the latest DeepHealth solutions in Enterprise Imaging, Population Screening, and more.
About DeepHealth
DeepHealth, a wholly-owned subsidiary of RadNet, Inc. (NASDAQ: RDNT), is a global leader in AI-powered radiology and health informatics for real-world clinical settings and screening programs. DeepHealth’s integrated portfolio of solutions builds on the strengths of eRAD Radiology Information and Image Management Systems, Aidence lung AI, DeepHealth breast AI and Quantib prostate and brain AI, which are now rebranded and part of DeepHealth. With its comprehensive portfolio, DeepHealth aims to address challenges across the entire radiology value chain from referral management, scheduling and patient engagement to technologist and radiologist workflow, and leverages advanced AI to improve operational efficiency, clinical confidence, and patient outcomes.
At the heart of DeepHealth’s portfolio is a pioneering cloud-native operating system (DeepHealth OS) that unifies data across the clinical and operational workflow and personalizes AI-powered workspaces for everyone involved in the radiology continuum, enabling them to deliver better care, driving value across the enterprise while facilitating the clinical and technological adoption of the AI tools. With a focus on leveraging AI for improved patient outcomes in breast, lung, brain, and prostate health, DeepHealth solutions power large-scale screening and diagnosis programs in Europe and the US, aiming to enable earlier, more reliable, and more efficient disease detection.
DeepHealth’s global operations are supported by teams across North America, Europe, and India, with algorithms trained on a diverse set of patient data to promote equitable healthcare. The company is committed to delivering breakthroughs in care delivery by focusing on four key areas: Enterprise Imaging, Population Screening, Integrated Diagnostics, and Real-World Data Insights. https://deephealth.com/
Forward Looking Statements
This 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 Axente
Director of Communications
Mobile: +31 614440971
Email: andra.axente@deephealth.com