The ONIX Platform

Six Workflows.
One Connected Core.

ONIX unifies DICOM viewing, AI-assisted reads, structured reporting, real-time collaboration, smart case routing, and operational oversight into a single browser-based system.

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DICOM Viewer

A reading environment built for the read itself.

Multiplanar, prior-aware, and tuned for speed — no separate viewer license, no plugin, no local install.

DICOM Viewer
Multiplanar Reconstruction

Axial, sagittal, and coronal views synced in real time for CT and MRI.

Prior Study Overlay

Current and prior studies load side by side, auto-aligned by series.

Measurement & Annotation

Distance, angle, ROI, and Hounsfield unit tools built into the toolbar.

Zero-Install Access

Runs entirely in-browser on standard hardware — no thick-client install.

Ask ONIX AI

AI drafts the findings. The radiologist decides.

ONIX AI sits inside the viewer, drafting structured language and answering study-specific questions — every word stays editable, every sign-off stays with the radiologist.

Contextual Support
Draft Findings
Faster Read-to-Sign
Critical Flags
Draft, never final Critical-finding flags In-viewer context
Voice Reports

Dictation that lands in structure, not a wall of text.

Speak findings naturally. ONIX transcribes and structures them into the right report fields in real time, formatted and ready to sign.

Voice Reports
Real-Time Voice-to-Structure

Speech is transcribed directly into Technique, Findings, Impression fields.

Modality-Specific Templates

Templates for CT, MRI, X-ray, and ultrasound, customizable per facility.

Edit-in-Place

Click into any field to correct or refine — text and voice edits both update the live report.

One Pass, Signed

Dictation, AI draft review, and sign-off happen in a single workspace.

Voice-to-structure Live dictation One-pass sign-off
Case Rooms

Second opinions, with a record that actually exists.

Case discussions happen inside the study they're about. Every consult, correction, and sign-off is tied to the case and timestamped.

CASE ROOM
Collaboration Hub
Multi-Radiologist Review
Invite a second reader directly into the study
Findings-Level Threads
Comments attach to a specific finding or image region
Full Audit Trail
Every message, edit, and second opinion is timestamped
Clear Ownership at Sign-Off
Tracks exactly whose interpretation is final
SMART ROUTING

Intelligent. Automatic.
Always the right match.

AI-powered routing that evaluates multiple factors in real-time to assign the right case to the right radiologist.

ONIX AI Routing

Subspecialty Matching

Cases route to radiologists credentialed and tagged for neuro, MSK, cardiac, body.

Priority-Based Escalation

STAT and critical-finding cases jump the queue automatically with SLA timers.

Load-Aware Assignment

Routing accounts for each radiologist's current queue depth to prevent pile-ups.

Coverage-Window Aware

Availability windows and time zones factor into routing for off-hours coverage.

Admin Console

Visibility into every case, every reader, every SLA.

Administrators get a real-time view of volume, turnaround, quality, and access — the operational layer that used to live in spreadsheets and phone calls.

Live Analytics
Case volume, turnaround time, modality statistics, and radiologist performance, updated in real time.
Case Queue
Every case in flight, ordered by priority and SLA, from STAT to signed.
QA & Peer Review
Peer review workflows, discrepancy tracking, and quality assurance built into the same pipeline.
User Management
Onboard users, manage credentials, and assign subspecialties and coverage.
Integration

Connects to what you already run.

ONIX is built on standard healthcare data protocols — no proprietary format, no vendor lock‑in. Most facilities are live within 72 hours.

DICOM
PACS-agnostic
HL7 v2.x
RIS / EHR
FHIR
Modern EHR
ONIX Platform
Connected Core
Cloud / On‑Prem
Deployment choice
Browser-Based
No Install
REST API
Open Integration

No custom integration project. ONIX connects to existing PACS and RIS systems over standard DICOM, HL7, and FHIR — there's no proprietary gateway to build or six‑month implementation timeline to plan around.

AI Governance

AI assists. Radiologists decide.

ONIX AI is decision support, not autonomous diagnosis. Every draft finding, flagged critical result, and structured suggestion requires radiologist review before it becomes part of the official record.

Step 01
AI Drafts

Structured findings language generated for review, with critical flags surfaced on study load.

Step 02
Radiologist Reviews

Every AI suggestion is visibly marked as a draft and fully editable — no hidden output.

Step 03
Report Signed

No report leaves ONIX without a credentialed radiologist's review and signature. AI never finalizes.

A note on regulatory framing: keep this section worded as decision support, not diagnostic autonomy, until FDA 510(k) clearance is in hand. Research-stage or IRB-approved use should be labeled explicitly as such wherever it appears — conflating IRB approval with clinical clearance is the single most common (and costly) misstatement in this space.

See it in action

One platform. Every step of the read.

Book a walkthrough of the full ONIX workflow — viewer to signed report — with your own study types.

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