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Healthcare · head to head

Cerner vs Rad AI

Cerner logo

Cerner

Healthcare

Health information technology solutions for healthcare organizations

From
On request
Rated
-
Full reviewWebsite
Rad AI logo

Rad AI

Healthcare

Generative reporting and follow-up tracking for radiology, positioned outside the diagnostic device boundary

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Cerner no published pricing on vendor website; enterprise healthcare software requires custom quotes; Rad AI the products are not FDA cleared devices and are not intended to be, so any claim that Rad AI improves diagnostic accuracy is unsupported; what has been measured is reporting speed and follow-up completion, not detection.
  • They diverge on capability: Cerner covers Electronic Health Records, Rad AI covers Impressions.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Cerner and Rad AI actually diverge.

Attributes where Cerner and Rad AI differ
AttributeCernerRad AI
PlatformsWeb, iOS, AndroidWindows, Web, Cloud
Founded1979Unknown

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Healthcare).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Cerner

  • Electronic Health Records
  • Revenue Cycle
  • Population Health
  • Patient Engagement
  • HL7
  • FHIR
  • Lab Systems
  • HIPAA

Only in Rad AI

  • Impressions
  • Reporting
  • Continuity
  • Style learning
  • Omni Reconcile
  • PACS and dictation embedding
  • Patient outreach workflows
  • Audit reporting

What people use each for

The jobs each tool is most often brought in to do.

Cerner

  • Hospital and acute care EHR for chart review and clinical documentationnot Rad AI
  • Mobile clinical access for physicians and care teams on point-of-care devicesnot Rad AI

Rad AI

  • A private radiology practice whose read volume has grown faster than it can recruit and that wants dictation time per study reduced without changing PACSnot Cerner
  • A health system losing revenue and exposing itself to liability because recommended follow-up imaging on incidental findings is never bookednot Cerner
  • A radiology department standardising impression quality across a mixed group of employed and locum radiologistsnot Cerner
  • A group deploying an AI tool that must not trigger a device validation programme, because governance capacity is already consumed by a triage algorithm rolloutnot Cerner

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Cerner

  • No published pricing on vendor website; enterprise healthcare software requires custom quotes

Rad AI

  • The products are not FDA cleared devices and are not intended to be, so any claim that Rad AI improves diagnostic accuracy is unsupported; what has been measured is reporting speed and follow-up completion, not detection.
  • Generated impressions require radiologist review and signature, so the time saving evaporates in any group whose radiologists rewrite the draft rather than edit it, and adoption varies sharply by individual.
  • It is bound to your dictation platform, so a group planning to move off PowerScribe should sequence that decision first or expect to redo the Rad AI integration.
  • Continuity depends on the quality of recommendation language in historical reports, and departments with inconsistent phrasing get poor recall until reporting practice is standardised.
  • Pricing is not published and is structured per radiologist or per study depending on the product mix, which makes it hard to compare against image-analysis AI vendors that price per scan.

Pricing, plan by plan

Cerner

On request

No published plan breakdown. See the Cerner review.

Rad AI

On request
  • Rad AI platform$undefined/year
    • Priced per radiologist or per study volume depending on product and contract
    • Impressions, Reporting and Continuity licensed separately
    • Annual subscription with implementation and integration scoped per site

Which should you pick?

Choose Cerner if

  • You need electronic health records.
  • You work on Web, iOS, Android.
  • You also want revenue cycle.
Cerner review

Choose Rad AI if

  • You need impressions.
  • You work on Windows, Web, Cloud.
  • You also want reporting.
Rad AI review

Questions people ask

Is Cerner or Rad AI better?
Neither clearly leads. Cerner starts at On request and Rad AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cerner or Rad AI?
Cerner starts at On request and Rad AI at On request.
Does Cerner or Rad AI run on more platforms?
Cerner runs on Web, iOS, Android. Rad AI runs on Windows, Web, Cloud.
What is Cerner best used for?
Cerner is most often used for hospital and acute care ehr for chart review and clinical documentation, mobile clinical access for physicians and care teams on point-of-care devices. Of those, hospital and acute care ehr for chart review and clinical documentation and mobile clinical access for physicians and care teams on point-of-care devices are not what Rad AI is typically brought in for.
What can Cerner do that Rad AI cannot?
Cerner covers Electronic Health Records, Revenue Cycle, Population Health, Patient Engagement. Rad AI covers Impressions, Reporting, Continuity, Style learning.

Answered from the vendors’ own pages

Cerner: Does Cerner publish its pricing?

No, Cerner does not publish standard pricing. As an enterprise healthcare EHR vendor (now acquired by Oracle), pricing is customized per healthcare organization based on size, bed capacity, modules required, and implementation scope. Contact Oracle Health for pricing.

Source
Rad AI: Is Rad AI FDA cleared?

No, and by design. The products draft text and manage follow-up workflow rather than interpreting images, so they fall outside the device pathway. Treat any diagnostic accuracy claim with scepticism.

Rad AI: Does the radiologist still sign the report?

Yes. Output is a draft that the radiologist reviews and signs; nothing is released autonomously.

Rad AI: Which product actually pays for itself?

Continuity has the clearest financial case, because recommended follow-up imaging that gets completed is billable work that currently does not happen.

Rad AI: Will it work with our dictation system?

It is deepest with Nuance PowerScribe. Confirm your specific dictation and PACS combination before contracting, because integration depth is the main deployment variable.

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