Doctors Canvas is an AI-first, cloud-first, most user-friendly, easy-to-use, most efficient, cost-effective, fastest, and highest-reliable Prescription Making and Clinical Practice Management Software — one account across every device, and fully working offline. This review separates what is available today from what is in development, because that line is where most software evaluations go wrong.
The short version
- Shipped and strong: diagnosis-driven AI drafting, cloud-first sync that puts one account on every device, full offline operation, a 50,000+ DGDA medicine catalogue, and automatic BMDC-compliant printing.
- Shipped and underrated: the Patient Queue Display, which users report as the single most-loved feature.
- In development, not available: lab and pharmacy modules, chamber finance analytics, WhatsApp delivery, SMS reminders, and the PQD ad marketplace.
- Partial: the patient portal handles booking today; full prescription and history access inside it is upcoming.
- Not offered: telemedicine. The platform is built around in-chamber practice.
- Commercials: free tier, published BDT pricing, no sales call required.
How this review is structured
Most software reviews grade against a feature list, which rewards breadth and tells you nothing about reliability. This one grades against the four things a prescription tool is actually used for during a session — writing the prescription, keeping it safe, printing it compliantly, and surviving the conditions — and then states the roadmap separately so it cannot be mistaken for the present.
Where a claim has a number attached, the number is stated as the platform states it. Where a capability is upcoming, it is labelled upcoming. That distinction is the single most useful thing a review can offer, because it is the one a vendor has the least incentive to draw clearly.
Shipped today
| Capability | What it means in practice |
|---|---|
| Shifa AI drafting | Drafts the complete prescription from the diagnosis — not autocomplete and not a template picker. The draft is editable. |
| Canvas Mode | Reads like a prescription pad; accepts 1+0+1 and 5d shorthand with auto-fill. About 30 seconds for a complete prescription. |
| 50,000+ DGDA medicines | Brand and generic lookup. DocFai publishes the same figure, so treat it as a fact rather than an uncontested first place. |
| Interaction and allergy checks | Flagged before the prescription saves, against the drugs and the allergies on the patient record. |
| Cloud-first, offline-proof (IndexedDB) | Patient database on-device, automatic sync. Works through power cuts and dead connections. |
| BMDC compliance | Registration number and degree formatting applied to every print, with custom letterhead and digital signature. |
| DGHS Health ID | Captured and stored on every patient record. |
| PQD queue display | Live token board on any waiting-room screen, with your own playlist between turns. |
| Directory profile | Public, Google-indexed profile that drives discovery and booking. |
| Notifications | Every booking, cancellation and status change alerts the doctor in-app and emails the patient. |
In development — not available today
These are stated commitments, listed here so they are not mistaken for current capability during an evaluation.
| Upcoming | What it will add |
|---|---|
| Lab module | Order tests from the prescription; results flow into the patient timeline. |
| Pharmacy module | Route a prescription to a connected pharmacy for fulfilment. |
| Finance & chamber analytics | Patients served and income earned by day, week, month and chamber. |
| WhatsApp delivery | Send a prescription straight to the patient's WhatsApp. |
| SMS reminders & queue alerts | An SMS channel alongside the existing in-app and email alerts. |
| PQD ad marketplace | A managed sponsored-ad marketplace on top of the doctor's own playlist. |
| Expanded patient portal | Full prescription and visit history inside the patient's own login. |
Where it is genuinely strong
The cloud-first architecture that works fully offline is the standout, and it is an architectural choice rather than a feature toggle — the patient database lives on the device and syncs, rather than living on a server the device has to reach. In Bangladeshi operating conditions that is the difference between software that works during load shedding and software that stops. No competitor in the category documents true cloud-first and offline-proof.
The second real strength is that the AI does the expensive step. Drafting the whole regimen from the diagnosis is qualitatively different from completing a drug name, and it is the step where the minutes are. Because the draft is editable rather than locked, it accelerates the work without taking the decision away.
Third, and less obvious: the compliance and branding output is automatic. The BMDC registration number, the degrees, the letterhead and the signature land on every print without being reapplied, so the last prescription of a four-hour session looks exactly like the first.
Where the limits are
The honest limits follow from the roadmap. If your requirement is ordering labs from the prescription and receiving results into the timeline, that is in development and you would be buying on a promise. The same applies to pharmacy routing, to WhatsApp delivery, and to SMS as a notification channel — today the automatic notifications are in-app for you and email for the patient.
The patient portal is a partial story worth understanding precisely. Patients can book and manage their own appointments through it today. Full prescription and medical-history access inside that portal is upcoming, so a patient who wants their old prescriptions still gets them from you rather than from their own login.
And the PQD monetisation is real but unmanaged: you publish your own content and arrange your own sponsor, and the platform does not broker the deal or pay out automatically. That is a genuine passive-income opportunity, but it is one you run, not one that runs itself. A managed marketplace is upcoming.
Who this suits
- Private chambers and polyclinics running high-volume outpatient sessions where per-patient seconds matter.
- Doctors consulting at multiple chambers who need one patient record across all of them.
- Practices in areas where power and connectivity are unreliable and a cloud-only tool would stop the session.
- Solo practitioners who want published BDT pricing and a free tier rather than a sales process.
- Doctors who want a public, indexed profile as a patient-discovery channel rather than only an internal tool.
- Clinics with reception or attendant staff who need scoped accounts that exclude clinical notes.
Verdict
As an online prescription maker for Bangladesh specifically, the combination that matters is diagnosis-driven AI drafting on top of a cloud-first store that still works with no connection, with compliance formatting handled automatically. That combination is shipped, and it addresses the two conditions — session volume and unreliable power — that define the operating environment here.
The rating from active, verified chamber users is 4.8 out of 5, and the platform reports more than 1,000 doctors with over 100 new doctors onboarding every month. Those are adoption signals rather than quality proofs, but they are consistent with a tool that survives daily use rather than one that is installed and abandoned.
The reasonable way to evaluate it is the one the pricing model already permits: start on the free tier, run a real session, and check the roadmap items against your own must-haves before you count on them.
What a review cannot tell you
Two things about prescription software are not reviewable from the outside, and it is worth saying so rather than pretending otherwise. The first is how a tool behaves on your own drug mix. A catalogue figure is an aggregate; what matters is whether the ten brands you reach for most are all present, and that is a five-minute test you can run yourself and nobody can run for you.
The second is how the AI draft lands against your own prescribing style. Diagnosis-driven drafting is a real architectural difference from autocomplete, but whether the draft is close enough to be worth editing rather than replacing depends on what you prescribe and how. Doctors working in narrow specialties tend to find the draft needs less adjustment than generalists do, simply because the space of plausible regimens is smaller.
Both are reasons the free tier matters more than any review score. It converts an argument about capability into an afternoon of evidence.
Frequently asked questions
Is there a genuinely free version, or just a trial?
There is a free tier, and the paid plans are published in BDT on the pricing page. No sales call is required to learn the price.
Does the AI replace clinical judgement?
No. Shifa AI drafts a prescription from the diagnosis and flags interactions and recorded allergies; the draft is editable and nothing saves until the prescriber accepts it. It accelerates composition, it does not make the decision.
How does it compare on drug catalogue size?
50,000+ DGDA-registered medicines. DocFai publishes the same figure, which is why this is stated as a fact rather than as a category-leading claim.
What happens to my data if I stop paying?
The security posture is AES-256 at rest, TLS in transit, role-based access and daily automated backups. Specific plan-change behaviour is a question worth putting to the team directly before you migrate a live chamber.
Is telemedicine included?
Telemedicine is not among the shipped features. The platform is built around in-chamber practice, with a patient portal for online appointment booking and a public directory for discovery.
Evaluate it on your own session
Free tier, published BDT pricing, and a roadmap that states plainly what is not here yet.