Rad AI Continuity
Automated detection and communication of follow-up recommendations from radiology reports to double patient follow-up rates.
Overview
Rad AI Continuity is an AI-driven patient follow-up platform designed to close the critical gap in radiology follow-up care. Research shows that only 30% of patients receive appropriate follow-up after imaging, and Rad AI Continuity is built to double — or more — that rate for significant actionable findings. The platform is purpose-built for radiologists, health system executives, and IT teams seeking to improve patient outcomes, reduce operational burden, and generate measurable financial returns.
By automating the detection, communication, and resolution of follow-up recommendations, Rad AI Continuity transforms a historically manual and fragmented process into a streamlined, end-to-end workflow. When deployed alongside Rad AI Omni Impressions, the platform can increase the total number of clinically appropriate follow-ups by up to 40%, delivering greater value than any comparable solution on the market.
How It Works: Three-Step Automated Workflow
- Detect: Proprietary AI models identify and categorize follow-up recommendations directly from radiology reports, trained on half a billion reports for exceptional accuracy.
- Communicate: The platform automates outreach to both providers and patients when clinically appropriate, reducing manual intervention and ensuring timely action.
- Resolve: Rad AI Continuity automatically closes the loop on follow-up care, driving better patient outcomes and a clear return on investment for health systems.
Intelligent Detection Capabilities
- Detect the finding: An advanced AI model trained on half a billion radiology reports identifies actionable follow-up recommendations with high precision.
- Classify the finding: Natural language processing is applied to identify the category and anatomy associated with each finding.
- Set the follow-up date: Recommended timeframes are determined based on the radiologist's guidance and categorized consensus guidelines.
- Manage follow-ups: A central dashboard on a single platform provides comprehensive visibility and tracking across all outstanding follow-up items.
Seamless Communication Features
- Real-time status updates: Triggered automatically by HL7 messages to keep all stakeholders informed.
- Patient outreach: Automated communication via SMS, direct mail, and EHR messaging ensures patients are reached through multiple channels.
- Provider outreach: Providers are contacted automatically through EHR messaging or fax.
- Program tracking: A comprehensive audit trail provides insight and supports quality control across the entire follow-up program.
Consistent and Reliable Follow-Up Resolution
- In-depth EHR and RIS integration: Deep connection to existing electronic health record and radiology information systems maximizes operational efficiency.
- Comprehensive dashboards: Real-time insights across the full patient population enable proactive management and oversight.
- Clear financial ROI: The platform is designed to be a sustainable, revenue-generating program for health systems, creating new value from appropriate follow-up imaging studies.
Benefits by Stakeholder
- Radiologists: AI-driven technology streamlines the identification of follow-up recommendations, enhancing diagnostic accuracy and patient care. Automated communication significantly reduces manual tasks and improves operational efficiency. Seamless integration into existing workflows ensures minimal disruption.
- Health System Executives: Rad AI Continuity bridges the follow-up care gap, increasing patient satisfaction and trust. When used alongside Rad AI Omni Impressions, it increases the volume of clinically appropriate follow-ups by up to 40%. The platform helps generate additional revenue streams without significant upfront investment, supporting strategic growth and financial performance.
- IT Teams: The platform prioritizes high-level security and compliance, with robust encryption and access controls to protect patient data. Integration with existing EHR and RIS systems streamlines implementation and reduces setup burden. Rad AI's commitment to continuous updates and support ensures the system remains current and minimizes security vulnerabilities.
Financial Impact and Revenue Generation
- Automated patient follow-up ensures cancers and other significant findings are caught early, improving patient outcomes and reducing liability.
- Performing appropriate follow-up imaging studies creates new, measurable revenue streams for health systems.
- With a current industry follow-up rate of approximately 30%, Rad AI Continuity targets a follow-up rate of 70%, representing a substantial increase in both clinical and financial value.
- When deployed in conjunction with Rad AI Impressions, the combined solution increases clinically appropriate follow-ups by up to 40%, delivering compounded value across the health system.
- These improvements collectively strengthen the health system's bottom line while contributing to a reduction in the overall cost of healthcare.
Rad AI Continuity integrates directly with existing EHR and RIS platforms, supporting streamlined deployment with minimal IT overhead. The platform adheres to high security and compliance standards, including robust encryption and access controls, making it suitable for health systems with stringent data protection requirements. Rad AI is headquartered in San Francisco, CA, and its solutions are trusted by thousands of radiologists across the industry.

