Healthcare · head to head
Doctolib vs Rad AI

Doctolib
Healthcare
Patient booking and practice management for European healthcare professionals
- From
- On request
- Rated
- -

Rad AI
Healthcare
Generative reporting and follow-up tracking for radiology, positioned outside the diagnostic device boundary
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Doctolib availability is limited to France, Germany and Italy, so a clinic group operating outside those markets cannot use it at all and a multinational provider cannot standardise on one booking system.; 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: Doctolib covers Patient booking marketplace, Rad AI covers Impressions.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Doctolib and Rad AI actually diverge.
Identical on both: starting price (On request), pricing model (quote), free tier (No), 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 Doctolib
- Patient booking marketplace
- Practice agenda
- Teleconsultation
- Automated reminders
- Electronic patient record
- Carte Vitale and reimbursement
- e-Prescription
- Doctolib Team
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.
Doctolib
- A French general practice that wants new patients to find and book it without a phone call, and needs Carte Vitale billing in the same toolnot Rad AI
- A German physiotherapy clinic replacing a paper diary and cutting no-shows through automated SMS remindersnot Rad AI
- A dental group with several sites that needs one shared agenda and per-site patient routingnot Rad AI
- A specialist starting a new practice in Paris or Berlin who has no existing patient list and needs the directory as a source of referralsnot 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 Doctolib
- A health system losing revenue and exposing itself to liability because recommended follow-up imaging on incidental findings is never bookednot Doctolib
- A radiology department standardising impression quality across a mixed group of employed and locum radiologistsnot Doctolib
- 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 Doctolib
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Doctolib
- Availability is limited to France, Germany and Italy, so a clinic group operating outside those markets cannot use it at all and a multinational provider cannot standardise on one booking system.
- No pricing is published anywhere on the site; every plan routes to a sales form, so a practice cannot budget or compare against alternatives without giving up contact details and sitting through a call.
- Contracts run on a twelve month commitment per practitioner, so a practice that hires a locum or loses a partner mid-term keeps paying for the seat.
- The commercial value is the marketplace listing rather than the software, which means leaving Doctolib costs a practice its inbound patient discovery, not just a data export; that asymmetry weakens the practice in every renewal negotiation.
- Clinical depth is thinner than a dedicated electronic health record, so practices with complex documentation, coding or research requirements often run Doctolib for scheduling alongside a second clinical system and reconcile the two by hand.
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
Doctolib
On request- Doctolib Pro$undefined/month
- Marketplace listing and patient booking
- Practice agenda
- SMS and email reminders
Rad AI
On request- Rad AI platform$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 Doctolib if
- You need patient booking marketplace.
- You work on Web, iOS, Android.
- You also want practice agenda.
Choose Rad AI if
- You need impressions.
- You work on Windows, Web, Cloud.
- You also want reporting.
Questions people ask
- Is Doctolib or Rad AI better?
- Neither clearly leads. Doctolib starts at On request and Rad AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Doctolib or Rad AI?
- Doctolib starts at On request and Rad AI at On request.
- Does Doctolib or Rad AI run on more platforms?
- Doctolib runs on Web, iOS, Android. Rad AI runs on Windows, Web, Cloud.
- What is Doctolib best used for?
- Doctolib is most often used for a french general practice that wants new patients to find and book it without a phone call, and needs carte vitale billing in the same tool, a german physiotherapy clinic replacing a paper diary and cutting no-shows through automated sms reminders, a dental group with several sites that needs one shared agenda and per-site patient routing, a specialist starting a new practice in paris or berlin who has no existing patient list and needs the directory as a source of referrals. Of those, a french general practice that wants new patients to find and book it without a phone call, and needs carte vitale billing in the same tool and a german physiotherapy clinic replacing a paper diary and cutting no-shows through automated sms reminders are not what Rad AI is typically brought in for.
- What can Doctolib do that Rad AI cannot?
- Doctolib covers Patient booking marketplace, Practice agenda, Teleconsultation, Automated reminders. Rad AI covers Impressions, Reporting, Continuity, Style learning.
Answered from the vendors’ own pages
Doctolib: Can I use Doctolib in the UK or the US?
No. Doctolib operates in France, Germany and Italy only. There is no English-market offering.
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.
Doctolib: Does Doctolib publish its prices?
No. Every tier on the site routes to a contact form, and quotes are per practitioner per month with a twelve month commitment.
Rad AI: Does the radiologist still sign the report?
Yes. Output is a draft that the radiologist reviews and signs; nothing is released autonomously.
Doctolib: Is Doctolib a full electronic health record?
Not really. It covers consultation notes, documents and prescribing, but practices with heavy clinical documentation needs usually keep a separate EHR.
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.
Doctolib: What happens to my patient bookings if I leave?
You keep your patient data on export, but you lose the public listing, which is where a large share of new bookings originate.
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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