Rad AI

Rad AI is a reporting assistant that drafts radiology impressions automatically using data already present in the imaging study and a hospital’s information system.

How to use Rad AI

1. Sign up at Rad AI and connect the hospital PACS or RIS through the secure interface supplied during onboarding.
2. Open an imaging study; the plug-in appears inside the usual reporting window without altering the established workflow.
3. Glance at the autogenerated impression that pops up in under two seconds.
4. Edit any phrasing, add follow-up recommendations, then approve the note so it is filed in the electronic record.
5. Track personal report-turnaround time and adoption metrics from the built-in dashboard.

What We Learned While Using Rad AI

What impressed us

• Noticeable time-savings: During a busy on-call evening the tool shaved roughly thirty seconds off each chest CT dictation, giving me space to double-check subtle findings instead of racing the clock.
• Fewer rote typos: Autogenerated sentences arrived free of the small mistakes that creep in after midnight, so post-sign-off addenda dropped by half over one week.
• Simple rollout: IT only needed one short session to enable the HL7 connection; after that, colleagues opened their dictation software and the assistant was just there.
• Respect for individual voice: The custom phrase library let me swap “background emphysema” for my usual “chronic obstructive changes” across every study with one tick box.
• Helpful analytics: I could see exactly how many impressions I accepted as-is versus edited, which nudged me to fine-tune my default templates.

Where it could improve

• Limited modality coverage: The current version focuses on CT and MRI; plain film impressions still start from a blank screen, so paediatric radiologists in our group got little value.
• No mobile access: If I reviewed images from home on a tablet, the plug-in failed to launch, forcing a return to manual dictation.
• Occasional context mismatch: One brain study with postoperative changes produced an impression that mentioned an “intact skull,” showing the engine can trip over unusual anatomy.
• Cost transparency: Pricing arrives only after a sales call, which slowed internal budgeting because finance asked for a clear per-user figure upfront.
• Data governance questions: Although the company states that no patient data leaves the secure server, our compliance team still wants a more detailed white paper before full approval.

Overall take

Rad AI trimmed repetitive dictation, kept my wording consistent and freed mental bandwidth for image interpretation; however, the tool still needs wider modality support, tablet compatibility and clearer documentation before every member of our department will rely on it day-to-day.