Radiology Workflow Orchestration | AI-Powered Case Routing | Evorad
Skip to content Skip to footer
Evorad logo symbol
maestro

Radiology Workflow Orchestration — Orchestrated Workflows, Enhanced Case Prioritisation

radiology workflow orchestration

Maestro delivers intelligent radiology workflow orchestration by combining rule-based logic with AI-driven image analysis to automatically prioritise and assign studies, reducing operational turnaround times.

Orchestration

Why teams choose maestro

subspecialty_routing
Subspecialty aware routing

Worklists are dynamically organised based on subspecialty, urgency, and radiologist availability, ensuring each case reaches the appropriate reader.

referres and smart decisioning
Smart decision-making

Route via a configurable rule engine when metadata is available and switches to AI image analysis, ensuring accurate assignment regardless of data quality.

icon_zero_disruption
Zero disruption deployment

Maestro embeds directly into the RIS and overlays on existing PACS environments. Enabling orchestration, without requiring changes or disruption.

 

icon_classification_precision
Proven classification precision

Validated across 34,000+ images, using evoTag engine, 89% precision is achieved on CT and MRI study classification, giving department leaders confidence that every case reaches the right hands.

icon_orchestration_beyond_pacs
Infrastructure Integration

Unlike traditional PACS worklist tools, maestro operates as a vendor-neutral orchestration layer across mixed environments, routing cases from any modality or system without requiring a platform change.

how maestro works
intelligent case orchestration

How It Works

Maestro connects to existing RIS and PACS environments to organise incoming studies and coordinate reader assignment. It uses study metadata, clinically assigned priority, elapsed time and reader availability to apply predefined routing rules. STAT designations established through clinical review are displayed on the worklist.

It evaluates both rules-based logic and AI image analysis to assign cases by urgency, subspecialty, and reader availability, ensuring accurate routing regardless of metadata quality or system complexity.

  • Modalities
    (CT, MR, XR, US, MG)
  • maestro
    Rules + AI routing engine
  • Radiology worklist
    Subspecialty-aware priority
  • evoViewer
    Study delivered, priors loaded
enhanced workflow

Combine with

01

evoRIS

Live scheduling and study state data from evoRIS makes every routing decision smarter and more precise.

02

evoTag

Clean metadata means smarter routing. Normalise study labels at entry, giving maestro the accurate data it needs to assign every case correctly.

03

synopsis

Once maestro puts the right case in front of the right reader, synopsis surfaces the full imaging history – everything they need before they start.

Built for enterprise radiology networks

Frequently asked questions

Radiology workflow orchestration FAQs

Radiology workflow orchestration is the automated organisation and assignment of imaging studies, so each case reaches the right radiologist at the right time. maestro does this by combining rule-based logic with AI-driven image analysis to prioritise and assign studies by urgency, subspecialty and radiologist availability.

maestro uses study metadata, clinically assigned priority, elapsed time and reader availability to apply predefined routing rules. When metadata is incomplete or inconsistent, it switches to AI image analysis, so cases are routed accurately regardless of data quality.

No. maestro embeds directly into the RIS and overlays existing PACS environments. It works as a vendor-neutral orchestration layer across mixed environments, so no platform change is required.

maestro routes CT, MR, XR, US and MG studies, from any modality or system connected to your environment.

STAT designations established through clinical review are displayed on the worklist. maestro takes clinically assigned priority and elapsed time into account when routing, so urgent studies are prioritised and assigned to an available reader.

Using the evoTag engine, maestro has achieved 89% precision on CT and MRI study classification, validated across more than 34,000 images.

Yes. evoRIS adds live scheduling and study-state data, evoTag normalises study labels at entry, synopsis surfaces the full imaging history, and evoViewer opens each study with priors loaded.

Yes. maestro is built for enterprise radiology networks and routes cases across mixed, multi-site environments. For remote reading, it works alongside evoTelerad to support teleradiology groups.