Radiology report editor
A good report editor needs to understand modality, context, review and signature. A generic text field does not sustain clinical operation: the workflow is only worth it if it reduces rework without hiding findings, without weakening medical review and without becoming an island outside the PACS/RIS. This guide gathers the interface and structure criteria that set a report editor apart from a simple word processor — always with the radiologist in control of review and signature. The distinction is not aesthetic: a word processor treats the report as free prose, while a clinical editor treats the report as a medico-legal document with mandatory sections, lifecycle states, correspondence between findings and impression and a sharp boundary between what the AI suggested and what the physician signed. That boundary is what defines the report's authorship and responsibility.
Framing and responsibility
Informative and assistive content. Laudos.AI speeds up the report's structure; the radiologist reviews, edits and signs. Responsibility for the report remains with the physician.
Assistive use, under the radiologist's responsibility (CFM Resolution 2.454/2026). Data processing in accordance with LGPD/ANPD.
When it makes sense
- Long reports with clear review
- Templates per exam and per service
- Signature and change history
- Teams that switch between the desktop at the service and remote review
- Services that frequently need to reopen and compare prior reports
What needs to improve in the routine
The workflow is only worth it if it reduces rework without hiding findings, without weakening medical review and without becoming an island outside the PACS/RIS.
Visible structure
Sections and fields help review faster and keep critical information from getting lost in the body of the text. A clinical editor makes the document's state explicit — draft, review and signature — so that nothing is released without medical review.
Interface criteria
Before adopting a report editor, evaluate the interface against objective criteria of real clinical use:
- Readable text in long reports
- Predictable shortcuts to review and correct
- Clear state between draft, review and signature
- Links to templates, classifications and integrations
A clinical editor is not a word processor: the difference in seven points
In practice, any text field accepts a report. What separates a clinical editor from a generic word processor is the set of guarantees it offers about the document — before, during and after signature. Use these seven points as the dividing line when comparing tools:
- Native sections (technique, findings, impression) that the tool recognizes as entities, not as loose paragraphs
- Explicit lifecycle: draft, under review, signed and, when needed, addendum or correction — each state with distinct permissions
- Verifiable correspondence between findings described and impression, avoiding a conclusion disconnected from the body of the report
- Authorship trail: what was generated by the AI, what was edited and what was accepted remain distinguishable for audit
- Critical finding communication embedded in the document, not as a parallel task on another channel
- Native integration of structured classifications (BI-RADS, TI-RADS, LI-RADS, Lung-RADS) at the point of the finding
- Return to the PACS/RIS without manual export, copy-paste or reformatting
Review ergonomics: where the minutes get lost
A radiologist's time is rarely lost writing the first version — it is lost reviewing, comparing and correcting. An editor that ignores review ergonomics gives back typing gains and consumes them again in screen friction.
Evaluate review by the number of actions between the physician and the signable report. Every window switch, every scroll to find the finding again and every manual reformatting is cognitive cost that accumulates over a shift of dozens of exams.
- Side-by-side comparison with the prior exam, without leaving the current report
- Direct jump to the next field to review, without manual scrolling
- Highlighting of what changed since the last version, so the eye lands where it matters
- Insertion of pertinent negatives and measurements without reformatting the text by hand
- Signature as a deliberate action separate from saving, so nothing is released by mistake
Common mistakes when choosing a report editor
Most frustrations with report editors do not come from a single technical failure but from poorly calibrated selection criteria. The most frequent patterns:
- Evaluating on an ideal-case demo, not on real, difficult exams from your own service
- Confusing typing speed with the time to a reviewable, signable report
- Accepting a tool that lives outside the PACS/RIS and charges for it in daily copy-paste
- Ignoring the document's state and finding out, late, that drafts went out as released reports
- Not testing comparison with priors, which is exactly where the follow-up report consumes time
How Laudos.AI solves it
Laudos.AI works as a web and mobile clinical editor, with smart templates by modality and a workflow ready to connect to the existing PACS/RIS. The AI structures the report (technique → findings → impression); the radiologist reviews, edits and signs.
Web and mobile editor, with readable text even in long reports
Smart templates by exam and by service
Explicit state between draft, review and signature, with change history
Direct links to templates, classifications and PACS/RIS integrations
Frequently asked questions
When does a radiology report editor make sense?
When there are long reports that require clear review, templates per exam and per service, and the need for signature with change history. A useful pilot measures curated clinical material, review quality, template adherence and integration friction.
What is the practical difference between a clinical editor and Word with macros?
Word with macros speeds up typing, but treats the report as free prose: it does not distinguish sections, does not control the document's lifecycle, does not guarantee correspondence between findings and impression and does not return the report to the PACS/RIS without copy-paste. A clinical editor treats the report as a medico-legal document, with explicit states, an authorship trail and integration. The macro saves seconds of typing; the clinical editor saves rework and reduces the risk of releasing a draft as a report.
Does the editor need to work on a phone?
It depends on your workflow. For on-call and teleradiology, reviewing and signing from a mobile device can be decisive. The criterion is not having an app for its own sake: it is keeping the same document state and the same audit trail on any device, so that a review started on the desktop can be finished and signed without losing history or control.
Does Laudos.AI replace the radiologist?
No. Laudos.AI structures and speeds up the report, but the physician reviews, edits and signs. Use is assistive and responsibility for the report remains with the radiologist (CFM Resolution 2.454/2026).
Do I need to change PACS/RIS?
No. The planned deployment connects to the existing infrastructure and keeps the familiar reporting flow, without forcing a change of PACS/RIS, worklist or exam data.
References
- Insights into Imaging (Bruls & Kwee) · 2020 · DOI: 10.1186/s13244-020-00925-z
- Journal of Digital Imaging (Forsberg et al.) · 2017 · DOI: 10.1007/s10278-016-9911-z
Meet Laudos.AI
Dictation in Portuguese with radiological terminology, automatic structuring, critical-finding flagging (CRIT) and integration with your current PACS/RIS. The physician reviews, edits and signs.
Content updated on .