Rad AI Reporting

Rad AI Reporting is a generative AI-powered radiology reporting software designed to help radiologists work faster, more accurately, and with significantly less cognitive burden. Built on Rad AI's leadership in generative AI and advanced machine learning, the platform enables radiologists to reduce dictation times by up to 50% and words dictated by up to 90%, making it a compelling solution for radiology practices of all sizes seeking to modernise their reporting workflows.

The platform is purpose-built for radiologists, practice executives, and IT teams alike, addressing efficiency, standardisation, burnout reduction, and ease of deployment in a single cloud-native solution that integrates seamlessly with existing systems including PACS, RIS, and EHR environments.

How Rad AI Reporting Works

1. Radiologists dictate their findings using their existing microphone, PACS, RIS, and EHR systems — no new hardware required.
2. Powerful generative AI processes the dictation to decrease cognitive load and increase productivity, generating comprehensive and accurate reports with remarkable speed.
3. The radiologist reviews and signs the final report, with impressions populating in as little as 0.5 to 3 seconds after findings are dictated.

Efficiency and Burnout Reduction

• Enhanced efficiency: radiologists can dictate up to 2x faster while continuing to use their current templates and workflows.
• Reduced burnout: partner radiologists report dictating up to 90% fewer words and consistently feel less fatigued at the end of a shift.
• Enhanced focus: by minimising repetitive administrative tasks, radiologists can keep their eyes on the images and dedicate more time to patient care and image interpretation.
• Time savings: radiologists save a median of one hour per shift, and practices experience improved service level agreements (SLAs).

Accuracy and Clinical Quality

• Rad AI Reporting helps radiologists catch and fix clinically significant errors in their reports, improving overall diagnostic accuracy.
• Automated insertion of consensus guideline recommendations eliminates the need to search for white papers or scroll through macros manually.
• Cutting-edge software solutions efficiently generate highly accurate reports in just a few minutes, saving valuable time across high-volume workloads.
• Streamlined reporting processes make overwhelming workloads more manageable by reducing unnecessary additional burden on radiologists.

Benefits for Practice Executives

• Seamless transition: the platform supports all current workflows including hardware, templates, macros, and free-dictation styles, while improving standardisation across the practice.
• Improved standardisation: Rad AI Reporting increases consistency across reports, streamlining radiology operations.
• Safeguard your practice: improved reporting accuracy helps protect the practice's reputation and reduce associated costs.
• More RVUs with less effort: the platform helps practices effectively address CMS reimbursement changes without overtaxing radiologists.
• Competitive advantage: AI-driven solutions help practices increase resilience and attract top radiology talent in an environment of ever-increasing workload.

IT and Deployment Advantages

• Cutting-edge modern architecture: Rad AI Reporting is a cloud-native open platform built on modern standards including OIDC and HL7 FHIR, enabling IT administrators to do more with less through a simple API.
• Open platform for AI: the standards-based, open architecture allows integrations from all AI vendors, avoiding lock-in to closed, proprietary systems.
• Lightweight, fast, and easy to deploy: zero-footprint cloud deployment means radiologists can begin using automated reporting from day one with their current templates, microphone, and computers.
• Minimal IT overhead: a lightweight client with SSO and optional auto-update can be rolled out in minutes, with no servers or VMs to configure — only internet access is required.
• CIOs and IT directors consistently report Rad AI as one of their easiest deployments.

Rad AI Reporting is trusted by thousands of radiologists and is designed to synchronise seamlessly with additional radiology software tools, minimising distractions and consolidating workflows. Its cloud-native, open-platform approach ensures the solution is built not only to solve today's reporting challenges but to scale and adapt alongside future AI and IT developments in the life sciences and healthcare landscape.