An intelligent, fully automated worklist that unifies studies across every connected PACS that routes each exam by licensing, credentials, subspecialty, availability, workload, priority, SLAs, preferences, and more.
Distributed reading teams juggle multiple PACS logins, viewers, and dictation systems. Avara replaces that sprawl with one operational layer across every site.
Before Avara
Each client site means another PACS, another login, and another reading stack. Radiologists spend time managing systems instead of reading studies.
With Avara
Every connected site feeds one control layer. Studies land in a single tailored worklist for each reader, so the right radiologist reads the right exam at the right time.
One unified worklist
Avara unifies studies from every connected PACS into a single tailored worklist for each reader, so your network stops managing queues and starts finishing reads.
Hospitals, imaging centers, and client PACS environments feed a single worklist. Radiologists stop hopping between systems to find the next study.
Connect bespoke PACS systems or run on Avara PACS. Integration complexity stays abstracted away so you can add and remove sites with ease.
Pull clinical context from EHR and RIS into AutoScribe so readers see a full patient jacket beside priors, with AI-assisted comparison, impressions, and dictation that cuts the need for separate EHR logins.
Open the FDA-cleared Avara Viewer, another PACS viewer, or a specialty viewer workstation from the same system without leaving the worklist.
Avara's intelligent control layer routes each study to the right reader using the full context of the exam, facility, and radiologist.
Worklist
Priority & routing
3 studies
Priya Shah
CT PE Protocol
Riverside Medical
HighAssignedJordan Hale
XR Knee
Summit Imaging
NormalAssignedMarcus Webb
US Abdomen
Northside Clinic
NormalAssignedStudy assignment is workload-aware. Live load, historical read patterns, and near-term projections shape who gets the next study so idle capacity turns into completed reads before backlog builds.
Eligible work continuously rebalances toward idle capacity. Overloaded readers ease up and underused readers stay productive without managers babysitting queues.
As the network balances, over and understaffing surfaces by site, modality, specialty, and time of day so you can fix coverage before it becomes backlog or lost volume.
Read times, turnaround, and studies per shift show where efficiency is won or lost so you can grow completed volume and revenue without needlessly hiring more readers.
Avara PACS
connected
Memorial PACS
connected
Unified Worklist
Live23 studies in your queue
Priya Shah
CT PE Protocol · Memorial
Jordan Hale
MRI Brain · Avara PACS
Riley Chen
CT Head · Metro
Elena Vargas
XR Chest · Lakeside
Diego Morales
US Abdomen · Valley
Metro Archive
connected
Valley RIS/PACS
connected
EHR and RIS integrations synthesize chart notes, history, and priors into an AI-summary displayed in the patient jacket. AI features like Omnibox, comparison, impressions, and follow-up accelerate every read so teams deliver higher-quality reports faster.


Open Avara's web-based Viewer or hand studies off to specialty workstations (Canon, GE, Philips, Siemens, and more) directly from your unified worklist. Readers stay in flow with the tools each case needs, without hopping systems or re-logging.
Unify every client site into one worklist and route each study by credentials, SLAs, and capacity across your reading network.
Run one orchestration layer across every location so readers work from a single queue instead of hopping PACS and sites.
Balance enterprise reading volume across departments and campuses with rules-based routing and one complete reading workspace.
Unify every site into one worklist, route by the rules that matter, and give readers a single workspace to finish the study.
Radiology Orchestrator is the operating layer for distributed radiology reading. It unifies studies across every connected PACS into one worklist and routes each exam by licensing, credentials, subspecialty, availability, workload, priority, SLAs, preferences, and more – so the right radiologist reads the right study at the right time.
No. Orchestrator connects to the PACS environments you already use – via DICOM nodes or API/HTTPS – and normalizes studies into one control layer. You can standardize the radiologist experience without forcing every client site onto the same archive. It also works with Avara PACS when you want the full stack.
Rules continuously evaluate each study against reader eligibility and network capacity. Organizations can prefer auto-assign or pull workflows; realtime sync keeps claims consistent so two readers don't take the same study. Priority and TAT rules keep urgent work from getting buried.
Orchestration lands in a complete reading workspace. AutoScribe is required for AI-powered reporting. Most teams also use Avara Viewer for diagnostic reading, hanging protocols, and patient context – and can still launch specialty workstations when a case needs them, all from the same worklist.
It's built for teleradiology groups, multi-site imaging centers, and hospitals that run complex, multi-PACS reading operations. There's no self-serve signup for Orchestrator – talk to sales or schedule a demo and we'll map your sites, rules, and go-live path.