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Healthcare · head to head

Annalise.ai vs Bahmni

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
Bahmni logo

Bahmni

Healthcare

Open source hospital information system and EMR for low-resource hospitals, built on OpenMRS

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Bahmni 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.; Bahmni the licence is free and the implementation is not; configuration, data migration, training and multi-year support from a partner routinely cost far more than a small commercial system would have, and hospitals that budget only for hardware stall.
  • They diverge on capability: Annalise.ai covers Annalise Enterprise CXR, Bahmni covers OpenMRS clinical record.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Annalise.ai and Bahmni differ
AttributeAnnalise.aiBahmni
Starting priceOn requestFree
Pricing modelquoteOpen source, no licence fee
Free tierNoYes
PlatformsWeb, Cloud, On-premiseWeb, Linux, Android

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 Bahmni

  • OpenMRS clinical record
  • Configurable clinical forms
  • Laboratory integration
  • Billing and inventory
  • Imaging
  • Inpatient management
  • Offline-capable clinical app
  • Reporting

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 Bahmni
  • A teleradiology provider covering many small hospitals that needs consistent triage before a human readsnot Bahmni
  • 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 Bahmni
  • 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 Bahmni

Bahmni

  • A mission or charitable hospital in India or East Africa that cannot fund a commercial hospital information system licence but needs a real EMR rather than papernot Annalise.ai
  • A ministry of health standardising district hospitals on one system and required by donors to use a recognised Digital Public Goodnot Annalise.ai
  • An NGO health network wanting one clinical record across several facilities with reporting that can feed a national DHIS2 instancenot Annalise.ai
  • A hospital that needs the clinical record, laboratory, pharmacy and billing to share one patient identity rather than running four disconnected systemsnot 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.

Bahmni

  • The licence is free and the implementation is not; configuration, data migration, training and multi-year support from a partner routinely cost far more than a small commercial system would have, and hospitals that budget only for hardware stall.
  • There is no single vendor with an obligation to you unless you contract one, so upgrade timing, security patching and defect resolution depend on whichever partner you hired and how long they stay engaged.
  • It integrates four substantial open source systems, which means an upgrade touches OpenMRS, OpenELIS, Odoo and the imaging stack together, and hospitals with heavy customisation often freeze on an old version rather than risk it.
  • Skilled Bahmni implementers are concentrated in a small number of firms in India and a few African countries, so a hospital outside those markets may find nobody local who can support it.
  • Funding for the coalition and its shared engineering comes from donors and member contributions rather than licence revenue, which makes the pace of core development dependent on grant cycles rather than on customer demand.

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

Bahmni

Free
  • BahmniFree
    • AGPL open source, no licence fee
    • All modules included
    • Community support via forum and documentation

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 Bahmni if

  • You need openmrs clinical record.
  • You want to start without paying.
  • You work on Web, Linux, Android.
  • You also want configurable clinical forms.
Bahmni review

Questions people ask

Is Annalise.ai or Bahmni better?
Neither clearly leads. Annalise.ai starts at On request and Bahmni at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Annalise.ai or Bahmni?
Bahmni has a free tier; the other does not. Paid plans start at On request for Annalise.ai and Free for Bahmni.
Does Annalise.ai or Bahmni run on more platforms?
Annalise.ai runs on Web, Cloud, On-premise. Bahmni runs on Web, Linux, Android.
Can I use Bahmni for free?
Yes. Bahmni 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 Bahmni is typically brought in for.
What can Annalise.ai do that Bahmni cannot?
Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Triage and notification, Worklist reprioritisation. Bahmni covers OpenMRS clinical record, Configurable clinical forms, Laboratory integration, Billing and inventory.

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.

Bahmni: Is Bahmni free?

The software is, under an open source licence. Implementation, hosting, configuration, training and support are charged by whichever partner you engage.

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.

Bahmni: Who owns and governs Bahmni?

Thoughtworks transferred ownership in October 2017 to the Bahmni Coalition, under the fiscal sponsorship of the non-profit OpenMRS Inc. Thoughtworks remains on the governing committee.

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.

Bahmni: What does an implementation actually cost?

It varies by hospital size and country, but expect the dominant costs to be partner services, training and multi-year support rather than software or hardware. Get a fixed-scope quote covering upgrades, not just go-live.

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.

Bahmni: Is it a recognised Digital Public Good?

Yes, Bahmni is on the Digital Public Goods Alliance register, which is increasingly a condition of donor funding for health information systems.

Bahmni: Where is it used?

More than 500 implementations across roughly 50 countries, concentrated in South Asia and Africa.

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