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Healthcare · head to head

Annalise.ai vs DHIS2

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
DHIS2 logo

DHIS2

Healthcare

Open source health information platform run from the University of Oslo and used by national ministries

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only DHIS2 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.; DHIS2 the licence is free and the implementation is not; national rollouts routinely cost hundreds of thousands of dollars in configuration, hosting, training and support, and budgets built on the word free fail immediately.
  • They diverge on capability: Annalise.ai covers Annalise Enterprise CXR, DHIS2 covers Aggregate data reporting.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Annalise.ai and DHIS2 actually diverge.

Attributes where Annalise.ai and DHIS2 differ
AttributeAnnalise.aiDHIS2
Starting priceOn requestFree
Pricing modelquoteOpen source, no licence fee
Free tierNoYes
PlatformsWeb, Cloud, On-premiseWeb, Android, Self-hosted, 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 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 DHIS2

  • Aggregate data reporting
  • Tracker
  • Android capture app
  • Dashboards and analytics
  • Metadata packages
  • Data quality tools
  • GIS mapping
  • Interoperability

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 DHIS2
  • A teleradiology provider covering many small hospitals that needs consistent triage before a human readsnot DHIS2
  • 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 DHIS2
  • 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 DHIS2

DHIS2

  • A ministry of health replacing paper monthly reporting from thousands of facilities with a national routine systemnot Annalise.ai
  • A donor-funded HIV or tuberculosis programme that must report standard indicators across several districtsnot Annalise.ai
  • A disease surveillance unit needing weekly case reporting with outbreak alerting and mappingnot Annalise.ai
  • An NGO running individual patient follow-up in a programme where facilities are frequently offlinenot 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.

DHIS2

  • The licence is free and the implementation is not; national rollouts routinely cost hundreds of thousands of dollars in configuration, hosting, training and support, and budgets built on the word free fail immediately.
  • HISP UiO introduced a Shared Services Fee in 2025, so organisations that depend on DHIS2 are now being asked for an annual contribution that did not previously exist in their plans.
  • Development funding comes from a small set of donors including Norad, the Global Fund and the Gates Foundation, which concentrates the platform's long-term direction in the priorities of those funders.
  • Implementation capability is concentrated in regional HISP groups, so a country whose local HISP group is overstretched has few alternative suppliers with equivalent expertise.
  • Analytics performance depends heavily on how metadata was designed at the outset, and a poorly structured initial configuration produces slow dashboards and bad indicator definitions that are painful to correct years later.

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

DHIS2

Free
  • DHIS2 softwareFree
    • BSD licence
    • All modules including Tracker
    • No user or facility limits
  • Shared Services Fee$undefined/year
    • Voluntary annual contribution introduced by HISP UiO
    • Funds shared global infrastructure and platform sustainability
    • Amount agreed with the HISP Centre
  • Implementation and support$undefined/year
    • Delivered by regional HISP groups or private implementers
    • Configuration, metadata design, hosting, training and support
    • Quoted per programme, commonly the dominant cost

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 DHIS2 if

  • You need aggregate data reporting.
  • You want to start without paying.
  • You work on Web, Android, Self-hosted, Cloud.
  • You also want tracker.
DHIS2 review

Questions people ask

Is Annalise.ai or DHIS2 better?
Neither clearly leads. Annalise.ai starts at On request and DHIS2 at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Annalise.ai or DHIS2?
DHIS2 has a free tier; the other does not. Paid plans start at On request for Annalise.ai and Free for DHIS2.
Does Annalise.ai or DHIS2 run on more platforms?
Annalise.ai runs on Web, Cloud, On-premise. DHIS2 runs on Web, Android, Self-hosted, Cloud.
Can I use DHIS2 for free?
Yes. DHIS2 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 DHIS2 is typically brought in for.
What can Annalise.ai do that DHIS2 cannot?
Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Triage and notification, Worklist reprioritisation. DHIS2 covers Aggregate data reporting, Tracker, Android capture app, Dashboards and analytics.

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.

DHIS2: Who owns and develops DHIS2?

The HISP Centre at the University of Oslo, funded by donors including Norad, the Global Fund, the Gates Foundation and Wellcome.

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.

DHIS2: Is DHIS2 free?

The software is free under a BSD licence. Implementation, hosting, training and support are not, and are the dominant cost.

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.

DHIS2: What is the Shared Services Fee?

A voluntary annual contribution introduced by HISP UiO in 2025 to fund shared global infrastructure and long-term platform sustainability.

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.

DHIS2: Can I buy commercial support?

Yes, from regional HISP groups or private implementers such as Devotta, which is contracted by HISP UiO for core platform development and also works independently.

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