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Healthcare · head to head

Annalise.ai vs OpenMRS

Annalise.ai logo

Annalise.ai

Healthcare

Multi-finding chest X-ray and head CT triage AI with FDA clearance on named findings, not on the whole model

From
On request
Rated
-
Full reviewWebsite
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

The short version

  • Only OpenMRS has a free tier, so it costs nothing to try first.
  • Each has a real cost: Annalise.ai the United States cleared indication covers roughly ten findings for triage and notification, far fewer than the model reports, so a buyer who evaluates the full multi-finding output and then contracts in the United States gets a much narrower cleared 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
  • They diverge on capability: Annalise.ai covers Annalise Enterprise CXR, OpenMRS covers Concept dictionary.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Annalise.ai and OpenMRS actually diverge.

Attributes where Annalise.ai and OpenMRS differ
AttributeAnnalise.aiOpenMRS
Starting priceOn requestFree
Pricing modelquoteOpen source, no licence fee
Free tierNoYes
PlatformsWeb, Cloud, On-premiseLinux, Web, Windows

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 Annalise.ai

  • Annalise Enterprise CXR
  • Annalise Enterprise CTB
  • Triage and notification
  • Worklist reprioritisation
  • Localisation overlays
  • Confidence output
  • PACS-native deployment
  • On-premise or cloud inference

Only in OpenMRS

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

What people use each for

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

Annalise.ai

  • An emergency department wanting pneumothorax and intracranial haemorrhage pushed to the front of the reading queue overnight when cover is thinnestnot OpenMRS
  • A teleradiology provider covering many small hospitals that needs consistent triage before a human readsnot OpenMRS
  • A screening programme in Europe where the broader CE marked decision support indication, rather than the narrow United States triage clearance, is what is being deployednot OpenMRS
  • A radiology department building an AI governance programme that wants one vendor covering both chest radiograph and head CT rather than contracting two separate algorithm suppliersnot OpenMRS

OpenMRS

  • A ministry of health standardising HIV treatment records across hundreds of facilities where per-patient licensing would be unaffordablenot Annalise.ai
  • A hospital network in a country where no commercial vendor supports the local language, clinical forms or reporting requirementsnot Annalise.ai
  • An NGO running a tuberculosis programme that must report into DHIS2 and needs the clinical record beneath it to be modifiablenot Annalise.ai
  • A health system that wants to own its clinical data model outright rather than depend on a vendor to extend itnot Annalise.ai

Where each one falls short

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

Annalise.ai

  • The United States cleared indication covers roughly ten findings for triage and notification, far fewer than the model reports, so a buyer who evaluates the full multi-finding output and then contracts in the United States gets a much narrower cleared use.
  • Triage AI reprioritises a worklist but does not change clinical decisions on its own, so departments that do not redesign how urgent studies are picked up see no measurable improvement in time to treatment.
  • Published validation is largely reader study evidence on detection of individual findings; prospective evidence of shorter time to treatment in routine emergency care is thin.
  • The Annalise brand is being migrated under the Harrison.ai name for the critical care offering, which creates ambiguity in multi-year contracts about what product name is actually being supported.
  • A high finding count raises the alert burden, and departments report that low prevalence findings generate false positives that erode radiologist trust unless the alerting thresholds are tuned locally.

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

Pricing, plan by plan

Annalise.ai

On request
  • Annalise Enterprise$undefined/year
    • Priced per study analysed or as an annual volume subscription
    • CXR and CTB licensed separately
    • Cleared finding set differs by market, which changes what you are buying

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

Which should you pick?

Choose Annalise.ai if

  • You need annalise enterprise cxr.
  • You work on Web, Cloud, On-premise.
  • You also want annalise enterprise ctb.
Annalise.ai review

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

Questions people ask

Is Annalise.ai or OpenMRS better?
Neither clearly leads. Annalise.ai starts at On request and OpenMRS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Annalise.ai or OpenMRS?
OpenMRS has a free tier; the other does not. Paid plans start at On request for Annalise.ai and Free for OpenMRS.
Does Annalise.ai or OpenMRS run on more platforms?
Annalise.ai runs on Web, Cloud, On-premise. OpenMRS runs on Linux, Web, Windows.
Can I use OpenMRS for free?
Yes. OpenMRS has a free tier, so you can try it without paying. Annalise.ai starts at On request.
What is Annalise.ai best used for?
Annalise.ai is most often used for an emergency department wanting pneumothorax and intracranial haemorrhage pushed to the front of the reading queue overnight when cover is thinnest, a teleradiology provider covering many small hospitals that needs consistent triage before a human reads, a screening programme in europe where the broader ce marked decision support indication, rather than the narrow united states triage clearance, is what is being deployed, a radiology department building an ai governance programme that wants one vendor covering both chest radiograph and head ct rather than contracting two separate algorithm suppliers. Of those, an emergency department wanting pneumothorax and intracranial haemorrhage pushed to the front of the reading queue overnight when cover is thinnest and a teleradiology provider covering many small hospitals that needs consistent triage before a human reads are not what OpenMRS is typically brought in for.
What can Annalise.ai do that OpenMRS cannot?
Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Triage and notification, Worklist reprioritisation. OpenMRS covers Concept dictionary, Modular architecture, Modern front end, FHIR support.

Answered from the vendors’ own pages

Annalise.ai: How many findings are FDA cleared?

Around ten across chest X-ray and head CT, for triage and notification only. The model reports far more findings than that; the rest are not cleared in the United States.

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.

Annalise.ai: Is the European position different?

Yes. CE marking under the medical device regulation covers a broader decision support indication than the United States triage and notification clearances, so the same software is a different regulatory product depending on where you deploy it.

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.

Annalise.ai: Does it diagnose?

No. In the United States it is a triage and notification device: it flags studies for earlier review, and the radiologist makes the diagnosis.

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.

Annalise.ai: Is Annalise.ai becoming Harrison.ai?

The critical care offering is now marketed under the Harrison.ai name. Ask the vendor to name the contracted product explicitly before signing a multi-year deal.

OpenMRS: Does it support FHIR?

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

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