Radiology Reading Worklist Orchestration

Centralizes imaging review and operational support to streamline radiology reading workflows within IntelliSpace Radiology 4.7.

The Problem

“Radiology Workflow Orchestration inside IntelliSpace Radiology 4.7”

Organizations face these key challenges:

1

Fragmented workflow across PACS, RIS, EHR, and communication tools

2

Manual worklist prioritization and reassignment

3

Frequent interruptions for protocol, history, and operational questions

4

Inconsistent escalation of urgent findings and unread critical studies

Impact When Solved

Reduce radiologist context-switching inside the reading workflowImprove prioritization of urgent and high-value studiesShorten report turnaround time and queue agingAutomate routine operational coordination and follow-up tasks

The Shift

Before AI~85% Manual

Human Does

  • •Manually review PACS, RIS, and EHR queues to choose the next study to read
  • •Look up priors, order details, protocol references, and patient history across separate systems
  • •Handle phone, chat, and staff interruptions about urgency, routing, and missing prerequisites
  • •Reassign studies, coordinate follow-up, and track unresolved operational tasks manually

Automation

    With AI~75% Automated

    Human Does

    • •Decide final study selection and perform diagnostic interpretation
    • •Approve or override AI-recommended prioritization, routing, and next-step suggestions
    • •Handle escalations, ambiguous cases, and clinically sensitive communication

    AI Handles

    • •Continuously rank studies by urgency, workload, and available clinical context
    • •Aggregate priors, indications, protocol guidance, and relevant history into a unified reading panel
    • •Monitor queues for missing prerequisites, SLA risk, unread critical studies, and routing needs
    • •Draft routine coordination messages, create follow-up tasks, and trigger operational escalations

    Operating Intelligence

    How it works

    AI runs the first three steps autonomously.

    Humans own every decision.

    The system gets smarter each cycle.

    Confidence88%
    ArchetypeRecommend & Decide
    Shape6-step converge
    Human gates1
    Autonomy
    67%AI controls 4 of 6 steps

    Who is in control at each step

    Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

    Loop shapeconverge

    Step 1

    Assemble Context

    Step 2

    Analyze

    Step 3

    Recommend

    Step 4

    Human Decision

    Step 5

    Execute

    Step 6

    Feedback

    AI lead

    Autonomous execution

    1AI
    2AI
    3AI
    5AI
    gate

    Human lead

    Approval, override, feedback

    4Human
    6↺ Loop
    AI-led step
    Human-controlled step
    Feedback loop
    TL;DR

    AI handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.

    The Loop

    6 steps

    1 operating angles mapped

    Operational Depth

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