Technology streamlines radiology workflows, elevates enterprise-level care coordination, and integrates third-party platforms through innovative deep clinical AI powered by Rapid Edge Cloud
RapidAI, the world leader in AI-driven medical imaging analysis and coordinated care, today announced the launch of its Rapid Enterprise™ Platform, powered by Rapid Edge Cloud. Rapid Enterprise includes the addition of the Rapid Navigator Pro™ and third-party integration. Rapid Edge Cloud is the industry’s only premier hybrid platform, combining on-premise and cloud-based capabilities. This expansion sets a new standard for cross-disciplinary deep clinical AI deployment and is engineered to revolutionize workflows within health system radiology departments and beyond. The enhanced platform delivers unparalleled speed, flexibility, cybersecurity, and seamless integration capabilities.
RapidAI, as the gold standard premier neurovascular platform, is setting a new standard as the ultimate solution for radiology and clinical care teams with the Rapid Enterprise Platform. Fully compatible with existing IT infrastructure such as EHRs, RIS/PACS, and role-based messaging systems, the platform delivers faster access to critical insights. This seamless integration enables clinical and operational teams to make timely, informed decisions while enhancing collaboration and productivity across the enterprise.
The Rapid Enterprise Platform seamlessly integrates into a single, cohesive system, including:
- AI-augmented secondary capture
- RIS/PACS connectivity
- Worklist prioritization
- Clinical decision support
- Structured and automated reporting
“Our mission with the Rapid Enterprise Platform is to redefine what’s possible for radiology teams,” said Karim Karti, CEO of RapidAI. “By combining our unique deep clinical AI capabilities with a robust, interoperable solution, we’re helping health systems achieve greater efficiency, prioritize workflows, and transform the way they deliver care.”
Rapid Navigator Pro supports radiology workflows with deep clinical AI by simplifying navigation, automating tasks like structured report generation, prioritizing critical findings, and pre-fetching prior studies and reports, including imaging and reports from external enterprise systems. The platform’s interoperable design and interactive interface display AI-derived results with seamless PACS integration. This allows radiologists to manage high-volume workflows efficiently and precisely. The Rapid Navigator Pro includes customizable features tailored to radiologists and clinical teams, enabling real-time access, sharing, and action on the most relevant data. Most importantly, clinical teams benefit from a single, trusted provider for their AI solutions, ensuring consistency, reliability, and ongoing support.
Over the past year, the Rapid Enterprise Platform has been implemented at an unmatched scale and speed in hundreds of health systems nationwide, demonstrating its ability to optimize operations, enhance connectivity, and scale to meet the demands of enterprise-level care.
The Rapid Enterprise Platform now includes advanced third-party technologies for detecting vertebral compression fractures (VCFs), cervical spine (C-spine) fractures, and incidental pulmonary embolisms (iPEs). With several additional modules slated for release in the near future, RapidAI continues to deliver a unified, high-performance ecosystem that empowers care teams to make faster, more accurate decisions across an expanding spectrum of clinical challenges.
“As a radiologist, having an enterprise AI platform that integrates best-in-class, clinically validated technologies is transformative,” said Jonathan Clemente, MD FACR, Chief, Department of Radiology at Carolinas Medical Center, Vice President of the Medical Staff and Neuroradiologist at Charlotte Radiology in Charlotte, NC. “With RapidAI, I can trust that third-party products are vetted with the same clinical rigor as their flagship solutions. This gives me confidence in the platform’s ability to help analyze complex cases with speed and accuracy while catching details that could be easily overlooked in the urgency of the Code Stroke workflow.”
Attendees of the Radiological Society of North America (RSNA) annual meeting are invited to visit RapidAI’s booth #5555 and its RSNA resource page to learn more about these advancements and their potential to enhance radiology workflows and patient care.
