For teams · Teleradiology software
Teleradiology software with worklist management that surfaces urgent studies across every site
The short answer
The best teleradiology software for a reading group depends on how it handles the combined worklist: it should route studies from every site into one queue, surface suspected urgent cases first, and keep report turnaround fast on night and weekend cover. Radiological.ai adds the reading-assist layer on top of that: it triages studies across feeds, flags regions for a second look on a quiet shift, and drafts the structured report for review. It is decision support, and the radiologist reviews and signs every read.
Teleradiology means reading for many sites at once, often overnight, often with one radiologist holding the pager for a region. The hardest part is not any single study, it is knowing which of the studies arriving from six hospitals deserves your eyes next.
Radiological.ai supports that coverage. It triages the combined worklist across sites so a suspected time-critical study from any feed rises to the top, flags regions worth a second look on a quiet night shift, and drafts the structured report so turnaround stays fast even when volume spikes. You review and sign every read, wherever it came from.
Worklist
Structured report
DraftRun the assistant to draft this report for review.
Decision support. The radiologist reviews and signs every study.
Decision support for qualified clinicians. Radiological.ai does not provide a diagnosis and is not a substitute for professional judgment.
Flag · prioritize · draft · you review and sign
Decision support not a diagnosis
You review & sign
Merging six hospital feeds into one queue is only useful if the merged queue is sorted by something better than arrival time, which is the argument our radiology worklist software page makes in detail. Teleradiology is where arrival-time sorting fails fastest, because every site has its own idea of what STAT means.
The other half of night coverage is turnaround, since a fast read that waits an hour to be dictated is not fast. Radiology report turnaround time breaks down where those minutes actually go, and cloud PACS for multi-site groups covers why one shared instance beats onboarding each location separately, while PACS integration covers the practical question of connecting to each covered site without asking anyone to log in twice. Covered sites also expect their own clinicians to see the images, which is a browser viewer problem rather than a PACS one: choosing a zero footprint DICOM viewer for a multi-site group covers how to split those licenses.
The reporting platform underneath all of this behaves differently once radiologists read from home, and most groups buy it before finding that out. Radiology reporting software for teleradiology covers per-facility templates, credentialing enforcement and report delivery, and the reporting software comparison shows which platforms still support the deployment models a distributed group needs. If the question in front of you is whether to contract coverage rather than staff it, our teleradiology companies comparison ranks providers against federal contract records, and teleradiology pricing works through what each contract model costs per study.
Primary source
Which teleradiology platforms hold a current FDA clearance to display diagnostic images
Teleradiology software is where a remote radiologist actually renders the interpretation, so the platform itself needs clearance for diagnostic display. Counts below are 510(k) clearances under product code LLZ, image management and processing (21 CFR 892.2050), by applicant of record, with the most recent clearance for each. Pulled from the openFDA 510(k) API on September 4, 2026.
| Platform vendor | LLZ clearances | Most recent LLZ clearance | What that tells a buyer |
|---|---|---|---|
| Agfa HealthCare | 19 | K252199, October 2025 | The most recently cleared enterprise imaging platform in this set |
| Fujifilm Medical Systems | 13 | K171463, September 2017 | Deep clearance history, newest LLZ record is older |
| Sectra | 12 | K081469, June 2008 | Newest LLZ is 2008; Sectra clears actively under other codes, see note |
| Konica Minolta | 11 | K240281, May 2024 | Current, though the newest record is a bone suppression module |
| Novarad | 6 | K172418, September 2018 | Established small-vendor footprint |
| Merge Healthcare | 6 | K250301, April 2025 | Merge Universal Viewer; note the clearances sit under the acquired name |
| Intelerad | 5 | K192176, April 2020 | IntelePACS, widely used by teleradiology groups |
| eRAD | 5 | K241223, October 2024 | Current clearance, built around teleradiology workflow |
| RamSoft | 5 | K222476, November 2022 | OmegaAI Image Viewer, cloud-native |
| Ambra Health | 2 | K231360, June 2023 | Cloud image exchange first, PACS second |
| Visage Imaging | 2 | K142196, April 2015 | Small LLZ footprint relative to its market presence |
| Merative | 0 | None under this name | Searching the brand you are quoted returns nothing, see note |
Source: openFDA 510(k) API, product code LLZ, searched by applicant of record on September 4, 2026. Three caveats matter before you use this as a scorecard. First, a low count is not a red flag: one current clearance is enough, and clearance counts reflect how often a vendor filed rather than how good the product is. Second, an old newest-clearance date does not mean the platform is uncleared today, because a cleared device stays cleared and many vendors file newer work under different product codes. Sectra is the clearest example: its newest LLZ record is 2008, but it cleared K232208 in April 2024 under its digital pathology module. Third, and most practically, corporate names move. Merative returns zero LLZ clearances under its own name while Merge Healthcare, the company it acquired, holds six including K250301 from April 2025. If you search the brand on your quote and find nothing, search the acquired company before concluding anything.
Why it works
What your group gets with teleradiology software
Cross-site triage
Studies from every feed land in one prioritized worklist, so a suspected critical case from any site rises to the top instead of waiting behind another hospital queue.
Built for the night shift
A steady second set of flags supports a single radiologist covering a region overnight, when volume is unpredictable and backup is thin.
Faster turnaround under load
Draft reports keep report turnaround fast even when several sites send studies at once, helping referrers get answers sooner.
What it handles
Flagged, prioritized and drafted for your review
The assistant pre-reads each study, surfaces a region of interest for review, re-prioritizes the worklist, and drafts the structured report in your template. You confirm, edit and sign.
- Triages studies across every covered site
- Surfaces suspected urgent cases first
- Supports single-radiologist night coverage
- Drafts reports to keep turnaround fast
- Radiologist reviews and signs each read
Region of interest flagged for review
A focal region is surfaced on the sample study for the radiologist to review. The assistant does not characterize it as a diagnosis.
Suspected finding flagged for radiologist review. Correlate clinically and confirm. Draft for review and sign-off.
Why Radiological.ai
One assistant across the whole read
Not three vendors stitched together. Flag, prioritize and draft in one calm pane, on X-ray, CT and MRI, with the radiologist signing every study.
Flags suspected findings
A second set of eyes surfaces regions of interest for review on every study, so a suspected finding is less likely to slip past late in a shift.
Prioritizes the worklist
Suspected-critical studies move to the top, so urgent reads surface ahead of routine follow-ups across your sites and shifts.
Drafts the report
A structured draft arrives in your template, ready to edit and sign. The draft saves the typing and the measuring, never the judgment.
Good questions
Questions about teleradiology software
Explore more
More ways teams read with Radiological.ai
AI for radiologists
Built with practicing radiologists, for the realities of the shift.
Learn moreTeleradiology companies
Who actually holds the contracts, what the models cost, and where an assistant fits.
Learn moreImaging center software
Outpatient throughput without sacrificing the read.
Learn moreFrom the blog: best AI radiology software in 2026, how much radiology AI costs, how to implement AI in a radiology workflow, and AI radiology companies.
Read more studies, with the assistant alongside you
Flag suspected findings, prioritize the worklist, and draft the structured report. You review and sign every study.
Radiological.ai is a workflow and decision-support tool for qualified clinicians. It does not provide a diagnosis and is not a substitute for professional medical judgment.