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. Dhaka practice has a specific shape — high volume, compressed evening hours, and patients arriving unpredictably because of traffic. This page is about what that shape demands.
Key takeaways
- Dhaka evening sessions compress 80-120 patients into about four hours, so per-patient seconds compound into hours.
- Traffic makes arrival order unpredictable, which is a queue problem before it is a scheduling problem.
- Load shedding means a cloud-only tool stops the chamber; cloud-first, and fully working offline does not.
- Multi-chamber is the norm in Dhaka, and split records across locations is the most common avoidable failure.
- One account covers every device — the chamber desktop, the laptop at home, the phone between locations — with no device limit and no primary machine.
- A Google-indexed public profile is how new patients in a city this size actually find a specialist.
What is different about practising in Dhaka
The clinical medicine is not different. The operating conditions are. A consultant in Dhanmondi, Mirpur or Uttara typically holds a hospital or institutional commitment during the day and runs a private chamber in the evening, and that evening window is both short and heavily subscribed. The result is a session where the list is long, the hours are fixed, and there is no slack anywhere in the schedule to absorb a delay.
Traffic compounds it. Patients given a nominal appointment time arrive across a two-hour spread, which means the order they arrive in bears only a loose relationship to the order they were booked in. Any system that assumes booked order equals served order will spend the evening being corrected by the receptionist.
And the power is not guaranteed. A chamber that cannot write or print a prescription during load shedding is a chamber that sends patients home, which in a four-hour window is not a minor inconvenience — it is a significant fraction of the session.
Four Dhaka-specific requirements
Sub-minute prescribing
At a hundred patients a session, a minute saved per patient is over an hour and a half. Shifa AI drafts the complete prescription from the diagnosis and Canvas Mode accepts 1+0+1 and 5d shorthand, which is what makes about thirty seconds realistic rather than aspirational.
A queue that reflects arrivals
Digital check-in issues the token when the patient actually arrives, and PQD shows the live board on the waiting-room television. The order on screen is the order in the room, so the front desk stops arbitrating.
Offline operation
Records are written on-device first with IndexedDB and synced when the line returns. Intake, queue calling and printing continue through a power cut.
One record across chambers and devices
Unlimited chambers with independent schedules under a single login, and that login works on every device at once. A patient seen in Dhanmondi on Monday is not a new patient in Uttara on Thursday, and the phone in your pocket shows what the chamber desktop shows.
The multi-chamber problem, specifically
Dhaka consultants very often hold two or three chambers across the city, and the default failure mode is that each one accumulates its own partial record. The patient is registered separately at each location, the prescription history is split, and the doctor is reconstructing continuity from whatever sheet the patient happened to bring.
Fixing that is less about features and more about where identity lives. When the patient is identified by mobile number or DGHS Health ID against one shared record, the chamber becomes an attribute of the visit rather than a separate universe. The visit timeline and vitals trends then cover the whole relationship, not one location's slice of it.
The scheduling side follows from the same place. Each chamber keeps its own timings and its own booking calendar, but they are calendars on one account, so a booking cannot silently collide with a session you are holding somewhere else.
Where the evening actually goes
A rough decomposition of a four-hour, hundred-patient Dhaka session, and which stage addresses each part.
| Where time goes | Why | What addresses it |
|---|---|---|
| Identifying the patient | No record, or a record under a different number | Search by mobile or DGHS Health ID against one shared record |
| Reconstructing history | Previous prescription is in the patient's bag, or lost | Stored visit timeline, vitals trends and prescription history |
| Composing the regimen | Written from blank for every patient | Shifa AI drafts from the diagnosis; you edit |
| Transcribing dosing | Translating shorthand into form fields | Canvas Mode auto-fills from 1+0+1 and 5d |
| Queue arbitration | Arrival order disagrees with booked order | Token issued at check-in; live board on PQD |
| Downtime | Load shedding or a dead line | Cloud-first, offline-proof IndexedDB with automatic sync |
Being found in a city of specialists
In a market as dense as Dhaka, discovery is a real constraint on a new or relocating practice. Patients search by specialty and area, and the profiles that surface are the ones that are genuinely indexed rather than merely present in someone's internal listing.
The Doctors Canvas directory publishes public, Google-indexed profiles that drive discovery and booking, organised down to the neighbourhood-and-specialty level — the way patients actually search. A profile carries your chambers, visiting hours, and BMDC verification, and a patient can book from it directly.
Every booking, cancellation and status change then alerts you in-app and emails the patient automatically, so the discovery channel does not create a phone-call burden for your front desk.
Start with the waiting room, not the prescription
In a crowded Dhaka chamber the queue display changes the patient's experience on day one and requires nothing new from you. Doctors consistently report it as the single most-loved feature, and it buys goodwill while you get used to Canvas Mode.
The waiting room as a Dhaka-specific problem
Waiting-room management is treated as a comfort issue almost everywhere else and as a capacity issue in Dhaka, because Dhaka waiting rooms are physically small relative to the lists they hold. When forty people are waiting in a room built for fifteen, the crowding at the consultation door is not impatience — it is people trying not to miss a name called over ambient noise they cannot hear through.
A visible token board changes the incentive. Once the next three numbers are legible from any seat, there is no reason to stand near the door, and the room redistributes itself. That is why the effect shows up on the first day rather than accumulating: it is not a workflow improvement, it is an information one.
The second-order effect is on your front desk. Most of what a Dhaka receptionist does during a busy evening is answer the same question — how many ahead of me — from people who cannot see the queue. Putting the queue on the wall returns that time to actual intake work, which is the half of the workflow that feeds your consultation speed.
Late arrivals, and why booked order is the wrong queue
The instinct when traffic scatters arrivals is to hold the booked order and make early arrivals wait for a patient who is stuck in Gulshan. In a four-hour window that is expensive: the chamber idles while the room is full. The alternative, serving strictly by arrival, penalises the patient who planned well.
The workable middle is what digital check-in produces naturally. The token is issued when the patient physically arrives, so the board reflects who is actually present, while the booking record still shows who was expected and when. You keep the information needed to be fair to an early booker without stalling the session for someone who is not in the building.
It also gives the front desk something to point at. A disputed turn against a printed paper book is an argument; a disputed turn against a timestamped digital token is a lookup. In a busy Dhaka chamber, that difference is worth real minutes every evening.
Frequently asked questions
Does it work in areas with weak connectivity?
Yes. The patient database lives on-device in IndexedDB and syncs automatically when connectivity returns, so weak or intermittent lines do not interrupt consulting, printing or queue calling.
I consult at three chambers across Dhaka. Is that extra cost per chamber?
Chambers are unlimited under one login, each with its own independent schedule. Pricing is published in BDT on the pricing page, and there is a free tier to start on.
Can my Dhaka chamber's receptionist manage the queue without seeing clinical notes?
Yes. Staff and attendant profiles are scoped to serial, schedule and patient management through role-based access; clinical notes are outside that scope.
How quickly can a new patient find me in the directory?
Directory profiles are public and Google-indexed, organised by division, district, area and specialty. Indexing timelines are Google's, not ours, but the profile is live and bookable immediately.
Is the prescription accepted at Dhaka pharmacies?
The output is a standard printed prescription on your own letterhead, carrying your digital signature and correctly formatted BMDC registration number and degrees. It is a more legible version of what you already hand over.
Run one Dhaka evening session on it
Over 1,000 doctors are on the platform with 100+ onboarding every month, rated 4.8 out of 5 by verified chamber users. The free tier is enough to test a real session.