Best fit
- ORM/ORU
- Status and results
- Legacy hospitals
Why Laudos.AI
- Event mapping
- Fallback
- IT documentation
Reporting routine
The modality defines what can fail in the final report
HL7 remains essential in legacy environments; integration should be treated as an operational project. Review must protect technique, relevant findings, comparison, measurements, and an impression supported by the exam itself.
Clinical standardization
Structure only helps when it preserves medical judgment
HL7 for radiology reports. HL7 remains essential in legacy environments; integration should be treated as an operational project. Evaluation should cover structure, relevant negatives, measurements, comparison, and impression, not just AI.
Structure
Technique, findings, comparison, and impression must remain readable in both normal and abnormal exams.
Clinical language
Text should preserve modality terminology and avoid generic impressions unsupported by findings.
Review
The radiologist should see what was organized, what was inferred, and what needs confirmation before signing.
Decision criteria
Physician control
The radiologist reviews, edits, and signs. AI should accelerate report structure, not make the clinical decision.
Real integration
The tool should fit PACS/RIS, worklists, and exam context without forcing an infrastructure replacement.
Governance
Templates, history, permissions, and critical findings need to remain auditable as the service scales.
Measurable throughput
The improvement should show up in report time, rework, standardization, and operational safety.
Useful questions
What to confirm before moving forward
Which part of the workflow will be measured: dictation, review, signing, delivery, or rework?
Who can change templates, vocabulary, permissions, and service standards?
Which data enters the system and what stays out of pilot scope?
How are changes, access, critical findings, and integration failures audited?
30-day validation
By modality, test normal, abnormal, and borderline cases; measure physician corrections, relevant-negative consistency, and findings-to-impression coherence.
FAQ
When is HL7 for radiology reports a good fit?
HL7 remains essential in legacy environments; integration should be treated as an operational project. A useful pilot checks curated clinical material, review quality, template fit, and integration friction.
Does this replace the radiologist?
No. Laudos.AI structures and accelerates the report, but the physician reviews, edits, and signs.
Does it require replacing PACS/RIS?
No. The intended deployment is to connect with existing infrastructure and keep the reporting flow familiar.