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Healthcare · head to head

DHIS2 vs Rad AI

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
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 DHIS2 has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; 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: DHIS2 covers Aggregate data reporting, Rad AI covers Impressions.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which DHIS2 and Rad AI actually diverge.

Attributes where DHIS2 and Rad AI differ
AttributeDHIS2Rad AI
Starting priceFreeOn request
Pricing modelOpen source, no licence feequote
Free tierYesNo
PlatformsWeb, Android, Self-hosted, CloudWindows, 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 DHIS2

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

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.

DHIS2

  • A ministry of health replacing paper monthly reporting from thousands of facilities with a national routine systemnot Rad AI
  • A donor-funded HIV or tuberculosis programme that must report standard indicators across several districtsnot Rad AI
  • A disease surveillance unit needing weekly case reporting with outbreak alerting and mappingnot Rad AI
  • An NGO running individual patient follow-up in a programme where facilities are frequently offlinenot 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 DHIS2
  • A health system losing revenue and exposing itself to liability because recommended follow-up imaging on incidental findings is never bookednot DHIS2
  • A radiology department standardising impression quality across a mixed group of employed and locum radiologistsnot DHIS2
  • 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 DHIS2

Where each one falls short

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

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

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

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 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

Choose Rad AI if

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

Questions people ask

Is DHIS2 or Rad AI better?
Neither clearly leads. DHIS2 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, DHIS2 or Rad AI?
DHIS2 has a free tier; the other does not. Paid plans start at Free for DHIS2 and On request for Rad AI.
Does DHIS2 or Rad AI run on more platforms?
DHIS2 runs on Web, Android, Self-hosted, Cloud. Rad AI runs on Windows, Web, Cloud.
Can I use DHIS2 for free?
Yes. DHIS2 has a free tier, so you can try it without paying. Rad AI starts at On request.
What is DHIS2 best used for?
DHIS2 is most often used for a ministry of health replacing paper monthly reporting from thousands of facilities with a national routine system, a donor-funded hiv or tuberculosis programme that must report standard indicators across several districts, a disease surveillance unit needing weekly case reporting with outbreak alerting and mapping, an ngo running individual patient follow-up in a programme where facilities are frequently offline. Of those, a ministry of health replacing paper monthly reporting from thousands of facilities with a national routine system and a donor-funded hiv or tuberculosis programme that must report standard indicators across several districts are not what Rad AI is typically brought in for.
What can DHIS2 do that Rad AI cannot?
DHIS2 covers Aggregate data reporting, Tracker, Android capture app, Dashboards and analytics. Rad AI covers Impressions, Reporting, Continuity, Style learning.

Answered from the vendors’ own pages

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.

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.

DHIS2: Is DHIS2 free?

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

Rad AI: Does the radiologist still sign the report?

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

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.

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.

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.

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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