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Rad AI Reporting

by Rad AI

Contact Information

https://trust.radai.com/

Release Stage

Commercially Available

Release Date

2024-09-30

Version

FtoR 1.0

Regulatory Approval

Not Applicable

Global Availability

Limited to English speaking clinical environments.

Summary

Rad AI Reporting is an advanced radiology reporting platform designed to streamline the reporting process for radiologists. By leveraging generative AI technology, it enhances existing workflows by allowing users to dictate reports more efficiently while integrating seamlessly with their current systems and templates. The platform supports a range of functionalities, including real-time dictation, automatic incorporation of findings into structured reports, automatic generation of the impressions, and features that significantly reduce the time spent on follow-up exams. There are currently three unique generative AI features as part of Rad AI Reporting: Omni Box: enables radiologists to focus on imaging interpretations without constantly referring back to reporting screens, thus boosting productivity and reducing burnoutfrom repetitive transcription. Omni Unchanged: carries over prior findings to the current report, allowing radiologists to dictate only new findings or changes, saving further time and effort. Omni Impressions: automates the generation of the impressions section in radiology reports and automates the incorporation of guideline recommendations. (Also sold as a standalone solution as Rad AI Impressions – and has its own CHAI model card.)

Uses and Directions

Intended Use

To aid Radiologists in the creation and signing of reports tied to imaging procedures. Advanced AI features reduce dictated words by up to 90% and increase efficiency by up to 50%. The radiologists are expected to review and confirm the AI assisted report before signing the report.

Primary Users

Radiologists.

How to Use

A radiologist uses Rad AI Reporting by dictating their findings, which are then automatically integrated and structured into the clinical report through artificial intelligence tools tailored to their preferences. The platform streamlines the reporting workflow, reduces errors, and saves time by generating impressions and structured reports, allowing radiologists to maintain consistency and efficiency across cases.

Target Population

All patients receiving radiology imaging studies.

Cautioned Out-of-Scope Settings

Cautioned Out-of-Scope Settings

Studies outside of CR/DR, CT, MR, Mammography, or Ultrasound.

EHR Compatibility

Compatible EHRs:

  • Epic
  • Cerner / Oracle Health
  • athenahealth
  • Allscripts / Altera
  • Meditech