Best fit
- Exam status
- Worklist
- Signing and delivery
Why Laudos.AI
- Field mapping
- Webhooks
- Integration logs
Reporting routine
The modality defines what can fail in the final report
RIS organizes scheduling, status, and operations. The reporting editor should respect that source of truth. 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
RIS in radiology. RIS organizes scheduling, status, and operations. The reporting editor should respect that source of truth. 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.
RIS, or Radiology Information System, manages the radiology operation: scheduling, worklist, exam status, patient data, reports, delivery, and integration with other systems. In a modern setup, RIS works alongside PACS, HIS, and reporting tools.
RIS vs PACS vs HIS
RIS organizes the operational flow. PACS stores and displays images. HIS consolidates hospital-wide information. Reporting software must talk to these systems to avoid rework, status loss, and manual copy.
Where AI fits in reporting
AI doesn't replace the RIS. It accelerates report production, structures the text, and returns the result to the existing flow. The physician remains responsible for reviewing, editing, and signing — aligned with CFM 2.314/2022 and 2026 AI guidance.
Checklist for choosing RIS-integrated reporting software
- Worklist: does the software pull the queue from the RIS without manual copy?
- Report return: does the signed report flow back to the RIS automatically?
- Logs and audit per user, exam, and event
- Fallback when the integration drops
- Granular role-based permissions
- Governed templates by unit, contract, and modality
- Integrated digital signature
- Traceable critical-findings communication (CRIT)
- Documented LGPD — DPO, DPA, data mapping
- Technical support with contract-level SLA
How Laudos.AI talks to the RIS
Laudos.AI supports HL7 v2 (ORM/ORU), FHIR, DICOM-SR, REST API + webhooks. Every integration is scoped by a dedicated engineer, not self-service. The standard flow ingests the worklist, opens the exam with context, captures natural speech, generates the structured report for review, and returns the signed result to the RIS with auditable per-exam logs.
FAQ
When is RIS in radiology a good fit?
RIS organizes scheduling, status, and operations. The reporting editor should respect that source of truth. 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.