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Platform

One layer. Every AI-assisted radiology workflow.

Urgent American Radiology Services orchestrates AI components, integrates with PACS, RIS, and reporting systems, and keeps radiologists in control of every interpretation.
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How the platform flows

From order intake to report — one continuous workflow.

Each step is observable, configurable, and human-overseen.
Step 1
Order Intake

Studies arrive from PACS / RIS.

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Order Intake
DICOM C-STORE and HL7 ORM/ORU intake from PACS / RIS.
Normalization into a single ingestion queue.
Eligibility rules tag which studies enter AI-assisted paths.
Configurable retention and routing per site / modality.
Step 2
Triage

Worklist is prioritized.

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Triage
Rule-based priority on modality, body part, and clinical history.
Risk-stratified ordering for AI-flagged cases.
SLA timers on every case with breach alerts.
Operator overrides captured with timestamp and reason.
Step 3
AI-Assist

AI overlays surface findings.

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AI-Assist
Mammography, chest X-ray, and NLP components run per eligibility.
Structured findings + candidate measurements attached to study.
Key-image suggestions surfaced for radiologist confirmation.
Provenance and confidence captured for each output.
Step 4
Radiologist Read

Radiologist confirms or overrides.

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Radiologist Read
Human-in-the-loop on every AI output.
Existing reading environment — no separate tool.
Override capture with timestamp, reason, and authoring user.
Peer-review feed populated from override stream.
Step 5
Report

Structured sign-out and follow-up.

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Report
Structured findings written back to reporting system.
Key images promoted with provenance + AI annotation.
Follow-up hooks for nav, referrer comms, and recall.
Outcome capture closes the loop on AI quality.
Modules

Six modules in one orchestration layer.

The platform surfaces are listed plainly below — no scroll-driven showcase, no hidden cards, and no laggy pinned panel.

01
Mammography AI workflow

Screening mammography support with worklist prioritization, suspicious-finding flagging, and structured handoff to radiologist review.

  • Suspicious-finding overlays with radiologist confirmation.
  • Density-aware worklist routing.
  • Recall workflow with patient navigation hooks.
02
Chest X-ray triage

AI-assisted CXR triage that prioritizes potentially urgent studies and routes them through radiologist confirmation.

  • Critical-finding alerts with SLA timers.
  • Configurable rules per modality and shift.
  • Audit trail on every flagged study.
03
NLP & reporting automation

Structured report drafting, key-image selection, and macro-aware language that radiologists review, edit, and finalize.

  • Macro-aware draft reports.
  • Key-image selection candidates.
  • Sign-out feedback feeds peer review.
04
Worklist prioritization

Risk-stratified worklist with configurable rules, SLA tracking, and integration into existing reading queues.

  • Drop-in compatibility with existing queues.
  • Subspecialty and shift-aware ordering.
  • Override capture for QA dashboards.
05
Quality analytics

Override rates, recall metrics, turnaround time, and peer-review analytics — all visible to your QA leads.

  • Turnaround, override, and recall dashboards.
  • Per-radiologist and per-modality cuts.
  • Exportable for board / accreditation review.
06
Patient & referrer follow-up

Integrate with patient communication and referrer-notification systems for closed-loop follow-up on actionable findings.

  • Closed-loop recall on actionable findings.
  • Referrer-notification handoffs.
  • Patient navigation status tracking.
Security & compliance

Healthcare-grade by default

HIPAA-aligned design

Architectural alignment with HIPAA Security Rule for clinical workflow surfaces.

Encryption everywhere

TLS in transit, AES-256 at rest, documented key management.

Human-in-the-loop

Radiologists confirm, edit, or override every AI output. Overrides feed QA.

Audit logging

Tamper-evident audit logs for AI outputs, radiologist overrides, and access events.

Role-based access

Least-privilege access with separation between operational, clinical, and administrative roles.

Model governance

Eligibility rules, validation methodology, override capture, and human-in-the-loop oversight.

Deep dive

Each module, in detail.

Hover any card for the supporting feature list.
Mammography AI workflow

Screening mammography support with worklist prioritization, suspicious-finding flagging, and structured handoff to radiologist review.

  • Suspicious-finding overlays with radiologist confirmation.
  • Density-aware worklist routing.
  • Recall workflow with patient navigation hooks.
Learn more →
Chest X-ray triage

AI-assisted CXR triage that prioritizes potentially urgent studies and routes them through radiologist confirmation.

  • Critical-finding alerts with SLA timers.
  • Configurable rules per modality and shift.
  • Audit trail on every flagged study.
Learn more →
NLP & reporting automation

Structured report drafting, key-image selection, and macro-aware language that radiologists review, edit, and finalize.

  • Macro-aware draft reports.
  • Key-image selection candidates.
  • Sign-out feedback feeds peer review.
Learn more →
Worklist prioritization

Risk-stratified worklist with configurable rules, SLA tracking, and integration into existing reading queues.

  • Drop-in compatibility with existing queues.
  • Subspecialty and shift-aware ordering.
  • Override capture for QA dashboards.
Learn more →
Quality analytics

Override rates, recall metrics, turnaround time, and peer-review analytics — all visible to your QA leads.

  • Turnaround, override, and recall dashboards.
  • Per-radiologist and per-modality cuts.
  • Exportable for board / accreditation review.
Learn more →
Patient & referrer follow-up

Integrate with patient communication and referrer-notification systems for closed-loop follow-up on actionable findings.

  • Closed-loop recall on actionable findings.
  • Referrer-notification handoffs.
  • Patient navigation status tracking.
Learn more →
Try the flow

See each step come alive.

Switch tabs to walk through what an AI-assisted study looks like, from upload to sign-out. Fully mocked — no real patient data.
Upload study
Studies arriving

DICOM lands. Eligibility rules decide what gets the AI pass.

MG_LCC.dcm

12.4 MB
✓ Done

MG_RCC.dcm

12.1 MB
✓ Done

MG_LMLO.dcm

11.8 MB
✓ Done

MG_RMLO.dcm

11.7 MB
✓ Done
See it in motion

Request a platform tour. Talk to us.

Tell us about your modalities, volume, and integration stack. We'll walk you through the workflow surfaces that matter most.
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AI-assisted, radiologist-overseen workflows — built for independent imaging centers, radiology groups, and the communities they serve.

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