Keep the Best PACS and Dictation System You Can Get, Then Add RadPro AI

The pitch from every large radiology vendor is the same: buy the whole platform from us and everything will work together. Sometimes it does. More often the department ends up with a good PACS, an adequate dictation system, and an AI module that was chosen because it was already on the contract rather than because it was the best available. There is another way to assemble a reporting stack. Pick the best PACS you can get. Pick the best dictation system you can get. Then add a reporting assistant that sits beside both, works on the text you already dictate, and was built to do one job well.

Why single-vendor stacks drift toward average

A vendor that sells PACS, dictation, worklist, and AI as one platform has to be competent at all four. Nobody is best at all four. The commercial logic of the bundle is that the strong product carries the weak ones: you buy the platform for its image viewer, and the AI drafting module comes along because it is cheaper than a second procurement. Two years later the viewer is still excellent and the drafting module is a version behind the field, but it is on the contract, so it is what you use.

The alternative, sometimes called best of breed, is older than radiology informatics and works everywhere else in software. Choose each component on its own merits and connect them with the simplest possible interface. For reporting, the simplest possible interface is the report text itself.

Three layers, three different buying decisions

Layer 1: PACS and the viewer

This is where the department should spend its attention and its long contract. Hanging protocols, prior retrieval, 3D tools, speed on a large CT, and reliability at 2 a.m. are what make a viewer good, and none of them has anything to do with how the report gets written. Choose the PACS for the PACS. A reporting assistant should never require you to change it.

Layer 2: dictation and speech recognition

The dictation system captures your words and signs the report into the record. Accuracy on your voice and your vocabulary, macro support, and the paste-and-sign workflow are what matter. PowerScribe, Dragon, and their competitors all do this well, and the choice is usually made at the group level. Again, choose it for what it does. The AI drafting add-on that the vendor offers on top is a separate product with a separate quality, and it should be judged separately.

Layer 3: the reporting assistant

This is the layer that helps you think and write: organize a long findings list into sections, synthesize an impression that leads with what matters, check the report for contradictions, suggest a differential for the indeterminate lesion. It needs your dictated text and nothing else. Because it needs nothing else, it can be bought by one radiologist, used case by case, and swapped for something better without touching layers one and two.

How the layers connect without an integration

The objection to a separate reporting assistant is always the same: without PACS integration, you have to copy and paste. That is true, and it is worth being precise about what the paste actually involves, because it is smaller than it sounds.

1. Dictate the case as you always do, in whatever order you found things. Do not clean it up.
2. Send the text to the assistant. In RadPro AI that is a paste into a web page, or one keystroke if you run the optional RadPro Hub helper on Windows, which reads the open report from the dictation window and sends it over.
3. Review the structured report and the synthesized impression. Edit what you disagree with.
4. Paste the result back into the dictation system and sign. The Hub reduces this to a keystroke as well.

Nothing in that sequence touches the PACS, the worklist, or the dictation system's own configuration. There is no HL7 feed to build, no IT ticket, no validation cycle. The assistant does not know your accession numbers and does not need to. That is the point: the interface is text, and text is the one thing every reporting system in the world already produces.

Dictated, as spoken:
"CT chest abdomen pelvis with contrast. Um, comparison from six months ago.
Liver has a couple of hypodense lesions, biggest one segment 6, about 2 cm,
was 1.4 before. There's a new 8 mm nodule right lower lobe. Spleen fine.
Scratch that, there's a small splenule. Left adrenal 1.5 cm, stable, looks
like an adenoma. A few small retroperitoneal nodes, largest 9 mm short axis,
was 7. Degenerative changes lumbar spine. Old right rib fractures."

Returned, ready to review:
FINDINGS
Chest: New 8 mm right lower lobe pulmonary nodule. ...
Liver: Segment 6 hypodense lesion measuring 2.0 cm, previously 1.4 cm. ...
IMPRESSION
1. Interval growth of the segment 6 hepatic lesion (2.0 cm, previously
   1.4 cm) and a new 8 mm right lower lobe nodule.
2. Enlarging retroperitoneal lymph node, 9 mm short axis (previously 7 mm).
3. Stable 1.5 cm left adrenal nodule, likely an adenoma. No other
   significant interval change.

What you gain by keeping the layers separate

• You can use the best tool at each layer. The PACS the group chose, the dictation system your voice works best with, and the reporting assistant that performs best on your cases, from three different vendors if that is where the best ones are.
• You can change one layer without touching the others. When a better reporting assistant appears, and one will, switching is a matter of pasting into a different web page. Your PACS contract is unaffected.
• One radiologist can decide. Layers one and two are departmental purchases. Layer three does not have to be. A locum who reads for three groups can bring the same assistant to all three.
• You pay only for the layer that varies. The PACS is used on every case and priced accordingly. The reporting assistant is useful on the complex minority of cases, and a monthly, pausable subscription prices it that way. The article on contract lock-in covers the economics.

What you give up, honestly

A deeply integrated AI module inside the dictation system can do things a text-only assistant cannot: pull the prior report automatically, know the protocol from the order, drop the draft straight into the reporting window. If your department has turned that module on and it is good, use it. The best-of-breed argument is not that integration is worthless; it is that integration should not be the reason you accept a weaker tool, a longer contract, or a year's wait. And on the cases where a text-only assistant earns its paste, a trauma pan-scan or a restaging with twenty-five findings, the difference between one keystroke and zero keystrokes is not the thing that decides your evening.

There is also a quality trade-off that the integrated pitch tends to leave out. A built-in AI module has to run on every report in the department at a price the vendor can absorb inside the platform licence, so it is engineered to be token efficient, fast, and cheap. That is a reasonable engineering goal, and it produces a reasonable draft: the findings restated in a tidier order, with a short impression that echoes them back. It is a stochastic parrot with good manners. A radiologist who wants more from a drafting tool, an impression that is prioritized, a consistency check that lists the 2.1 cm lesion written as 1.2 cm in the impression, differential considerations with the reasoning and sources shown, is asking for a different amount of work per case. RadPro AI is designed for that. It spends more compute on each report because it is only used on the reports that need it, so expect some waiting on a long case. Time it on your own cases to see whether a drafted synthesis saves you time.

Where RadPro AI fits

RadPro AI is a layer-three tool and nothing more. It is tailor-made for radiologists: built for the cases with too many findings to juggle, around the way a radiology report is actually structured, prioritized, and signed. It is not a general writing assistant with a medical skin, and it deliberately does not try to be a PACS, a viewer, or a dictation system. It takes the text you dictated in whatever system you use, returns a structured report and a draft impression, lists possible inconsistencies to check, and on request lists differential considerations, with sources, for you to weigh. PHI is detected and redacted before any text reaches a model. It runs beside any PACS and any dictation system, with nothing to install beyond the optional one-key Windows helper.

FAQ

Does RadPro AI replace my dictation system?

No. You keep dictating in PowerScribe, Dragon, or whatever you use, and the signed report still goes into the record through that system. RadPro AI works on the text in between: after you dictate and before you sign.

Will it work with my PACS?

It never connects to the PACS, so the question does not arise. It works with any PACS in the sense that it does not care which one you have.

What if my group later buys the dictation vendor's AI module?

Then compare them on your own cases and keep whichever is better. If the integrated module wins, cancel the monthly subscription from the account page. Nothing about the way RadPro AI is sold makes that decision harder, which is the whole idea.