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Healthcare · head to head

OpenMRS vs Rad AI

OpenMRS logo

OpenMRS

Healthcare

Open source electronic medical record platform for low-resource settings, with no vendor and paid implementers instead

From
Free
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

  • Only OpenMRS has a free tier, so it costs nothing to try first.
  • Each has a real cost: OpenMRS there is no vendor and no support contract from OpenMRS itself, so a procurement that requires a named supplier with a service level must instead contract an implementer, and the quality of that implementer determines the outcome more than the software does; 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: OpenMRS covers Concept dictionary, Rad AI covers Impressions.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where OpenMRS and Rad AI differ
AttributeOpenMRSRad AI
Starting priceFreeOn request
Pricing modelOpen source, no licence feequote
Free tierYesNo
PlatformsLinux, Web, WindowsWindows, Web, Cloud

Identical on both: 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 OpenMRS

  • Concept dictionary
  • Modular architecture
  • Modern front end
  • FHIR support
  • Offline tolerance
  • Patient matching and registration
  • Distributions

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.

OpenMRS

  • A ministry of health standardising HIV treatment records across hundreds of facilities where per-patient licensing would be unaffordablenot Rad AI
  • A hospital network in a country where no commercial vendor supports the local language, clinical forms or reporting requirementsnot Rad AI
  • An NGO running a tuberculosis programme that must report into DHIS2 and needs the clinical record beneath it to be modifiablenot Rad AI
  • A health system that wants to own its clinical data model outright rather than depend on a vendor to extend itnot 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 OpenMRS
  • A health system losing revenue and exposing itself to liability because recommended follow-up imaging on incidental findings is never bookednot OpenMRS
  • A radiology department standardising impression quality across a mixed group of employed and locum radiologistsnot OpenMRS
  • 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 OpenMRS

Where each one falls short

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

OpenMRS

  • There is no vendor and no support contract from OpenMRS itself, so a procurement that requires a named supplier with a service level must instead contract an implementer, and the quality of that implementer determines the outcome more than the software does
  • It is a framework rather than a ready product, so a deployment requires clinical content, form design, concept dictionary work and integration before a single patient is registered, and that work is months of skilled effort
  • Funding comes largely from donor programmes, which makes the pace of core development dependent on grant cycles rather than on a commercial roadmap, and priorities can shift when a funder does
  • Distribution choice, core OpenMRS against Bahmni against Ozone, locks in a different set of components and a different implementer pool, and migrating between distributions later is close to a fresh implementation
  • The people cost never goes away: a national deployment needs permanent internal informatics capacity or a permanent support contract, and organisations that budget only the zero licence fee run out of money at the point the system becomes clinically critical

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

OpenMRS

Free
  • OpenMRSFree
    • Openly licensed, no licence fee and no seat limits
    • Community support through forums and the OpenMRS Talk platform
    • No support contract available from OpenMRS itself

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 OpenMRS if

  • You need concept dictionary.
  • You want to start without paying.
  • You work on Linux, Web, Windows.
  • You also want modular architecture.
OpenMRS 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 OpenMRS or Rad AI better?
Neither clearly leads. OpenMRS starts at Free and Rad AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, OpenMRS or Rad AI?
OpenMRS has a free tier; the other does not. Paid plans start at Free for OpenMRS and On request for Rad AI.
Does OpenMRS or Rad AI run on more platforms?
OpenMRS runs on Linux, Web, Windows. Rad AI runs on Windows, Web, Cloud.
Can I use OpenMRS for free?
Yes. OpenMRS has a free tier, so you can try it without paying. Rad AI starts at On request.
What is OpenMRS best used for?
OpenMRS is most often used for a ministry of health standardising hiv treatment records across hundreds of facilities where per-patient licensing would be unaffordable, a hospital network in a country where no commercial vendor supports the local language, clinical forms or reporting requirements, an ngo running a tuberculosis programme that must report into dhis2 and needs the clinical record beneath it to be modifiable, a health system that wants to own its clinical data model outright rather than depend on a vendor to extend it. Of those, a ministry of health standardising hiv treatment records across hundreds of facilities where per-patient licensing would be unaffordable and a hospital network in a country where no commercial vendor supports the local language, clinical forms or reporting requirements are not what Rad AI is typically brought in for.
What can OpenMRS do that Rad AI cannot?
OpenMRS covers Concept dictionary, Modular architecture, Modern front end, FHIR support. Rad AI covers Impressions, Reporting, Continuity, Style learning.

Answered from the vendors’ own pages

OpenMRS: Who supports OpenMRS if it breaks?

Not OpenMRS itself. Support is bought from implementers such as Mekom Solutions, which offers long-term production service level agreements for OpenMRS, Bahmni and Ozone deployments, or from regional partners.

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.

OpenMRS: Is it really free?

The software has no licence fee. Hosting, configuration, clinical content, integration and support are the real cost, and they are ongoing.

Rad AI: Does the radiologist still sign the report?

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

OpenMRS: What is the difference between OpenMRS, Bahmni and Ozone?

OpenMRS is the core platform. Bahmni and Ozone are distributions that package it with billing, laboratory and inventory components. Choosing a distribution constrains your implementer options.

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.

OpenMRS: Does it support FHIR?

Yes. FHIR support is the standard route for integrating laboratory, pharmacy and national reporting systems.

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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