Guides on voice reporting, writing radiology reports and how each Raporio mode works.
You say the finding, Raporio fills in your own template. A step-by-step look at AI voice reporting and how it differs from classic dictation.
In Raporio's dictation mode you only say the finding, not the whole report. What to say, how findings are placed and how voice editing commands work.
Raporio's live transcript shows your words on screen as you dictate. What it is for, when to turn it on and what happens if the connection drops.
Every radiologist has preferred terms. Define "write this instead of that" rules once in Raporio's rules engine and they are applied to every report.
In ultrasound mode an assistant types short codes like "liver fat2, gb stone 8" and Raporio builds the report from your template, without typos.
Use Raporio without touching the mouse: F2, F3 and F4 shortcuts, Philips SpeechMike and foot pedal support. Step-by-step setup.
The key to trusting AI-written reports is seeing what changed. Raporio highlights every sentence that differs from your template, so you never reread the whole report.
A good normal template is the foundation of voice reporting. How to create and edit templates in Raporio and what makes a template work well.
The parts of a good radiology report, how to write findings, what the impression is for and the most common mistakes. A practical summary based on ESR guidance.
Normal report examples for non-contrast head CT, chest CT, CT abdomen and pelvis and upper abdominal CT, with a short dictation and the sentence it produces.
Normal report examples for brain MRI, lumbar and cervical spine MRI and knee MRI, with one sentence per structure and a short dictation with the resulting sentence.
The most frequent ultrasound report errors and how to prevent them: left/right, sizes and units, abbreviations, template leftovers and limitations.
The strengths and weaknesses of typing, classic dictation and AI-assisted reporting, and how to measure which one suits your own workflow.
The data protection questions a department should ask before adopting AI voice reporting: what data is processed, where it is stored, third-party services and GDPR readiness.
How to trial a voice reporting tool in your department: baseline measurement, setup, 2-4 weeks of use and comparing results. Our own measurement protocol.
