One curated worklist. Per radiologist, every shift.
NewVue doesn't assign cases from a rule tree. It profiles every radiologist's credentials, subspecialty, licensing, and workload, then curates one worklist of the studies each reader is eligible for, in the order that serves patients best. Closed-loop workflows run in the same flow.
One worklist, working for you
Every methodology rolls up into one curated list per radiologist. Step through what the screen is doing on your behalf.
From assignment to orchestration
First-generation products rely on static rules, manual assignment, or simple round-robin logic. We built that model at PeerVue, and we watched it break down under real-world complexity. NewVue's intelligent distribution continuously evaluates studies, readers, priorities, and workload, then rolls every methodology into a single curated worklist per radiologist. Balanced workloads, better turnaround, and no rule explosion to maintain.
Profiles, not rule trees
Automated profiling learns each radiologist's credentials, subspecialty, licensing, schedules, and preferences. The proprietary algorithm scores readers against every study, so advanced distribution takes simple configuration, not a data science degree.
Eligibility, not lock-in
Cases are reserved, not locked. Reservations redistribute with reading velocity and shift events: readers coming online, shifts starting or ending, a stroke arriving. The most urgent eligible case is always on top for the right reader.
One curated worklist
Every methodology rolls up into one worklist per radiologist, and visible case volume is curated to keep readers in flow. Auto-next loads the next study the moment one signs. No list-hunting, no cherry-picking.
Priority-based pools
Emergent, reserved, and backlog studies are separated to match operational intent, and emergent categories surface to every eligible reader at once.
SLA-aware escalation
Time thresholds and urgency move studies from reserved to shared visibility, escalating laterally and vertically as clocks run down. SLAs get met without anyone watching a dashboard.
Coverage-aware models
Active-user, shift-based, and scheduled pre-distribution coverage models, with on-hours and after-hours behavior you define.
Full-system awareness
Each decision considers the entire case pool and every available radiologist, one study at a time, preventing the workload drift that pre-batched assignment creates.
Workload equity & RVU targets
Equity-first, load-balanced, or best-fit strategies with CMS RVU values out of the box (adjustable), live daily tallies, and hard caps where you want them.
Distribution, your way
Inside the workspace, the Intelligent Worklist becomes intelligent study distribution, and the strategy is yours to choose.
Equitable round-robin
Everyone gets an equal share, dealt automatically as readers log on and off.
Load-balanced
Balances RVU value and case counts across the shift, with live tallies against targets.
Best fit
Keeps distribution even while steering each study toward the strongest subspecialty match.
Strict best fit
Clinical expertise first: the neuro study skips the generalists and finds the neuroradiologist.
Closed-loop workflows, from the team that pioneered them
Peer review is our heritage. The PeerVue team built radiology's quality tooling before founding NewVue, and here it lives inside the reading flow instead of a separate application.
Peer Review / Learning
ACR-compliant randomized review and voluntary ad-hoc feedback, in the flow of interpretation. Frequency tunes by modality and group, supports FPPE targets per radiologist, and automatically increases requests when someone falls behind.
Tech QC
Radiologists flag exam quality issues during the read; NewVue classifies and routes them to the right technologist for remediation. Blocking exams leave the worklist until resolved, then return automatically.
Critical Results
Flag by severity with configurable turnaround SLAs and scheduled reminders, track every delivery attempt to acknowledgment, and open or close follow-ups automatically through HL7 triggers.
Incidental Findings
Incidental and unexpected findings get their own tracked follow-up cases on a prioritized worklist, so nothing discovered in passing gets lost after sign-off.
Over-reads (ED & Resident)
Resident-to-attending routing with grading and structured feedback, and ED prelim workflows where discrepancies flagged during the read route back for closed-loop acknowledgment.
Plays well with the rest of the platform
Buy it standalone or as part of the Radiologist Cockpit. It stands alone in your current stack, and many customers start here: it's how Zwanger-Pesiri retired a first-generation orchestrator and how LucidHealth replaced a homegrown system of 30,000 rules. When you're ready, the Radiologist Cockpit and Orchestrated Reporting are already part of the same platform.
Let's find where you'd start.
We meet you where you are. Tell us what you run today and we'll show you the one piece that changes the most, running beside everything you keep.
Request a Demo