Product · Healthcare
A result is a trend, not a PDF.
A patient who receives a number learns nothing. A patient who sees the same marker over four visits against its reference band understands their own condition — and turns up for the follow-up.
Open NABD
Opens in a new tab. Switch between the patient app and the staff app in the control bar.
What it is
A platform for a medical group running outpatient clinics across several branches plus its own diagnostic laboratory. Patients book visits and tests, have samples collected at home, and follow results as a trend. Staff run a day schedule, a live queue, a laboratory worklist from accessioning to validated release, a critical-value callback console, and a home-collection dispatch board.
- 5
- clinic branches, one laboratory
- 2
- apps: patient and staff
- 6
- WhatsApp threads carrying status
- 250
- results in the seeded world
These describe the product and its seeded demonstration world. They are not a client's operating figures.
Who it is built for
Two applications, and inside the staff application several jobs that share nothing but a patient identifier.
Every screen on these pages is redrawn in the browser from the product itself. None of it is a captured image.
The patient
Books clinic visits and lab tests, switches to a family member under a recorded consent, requests a home collection, and reads results as a trend with a plain-language explainer.
Your results
One marker, four visits
- This visit5.9 mmol/LWithin range
- Last visit6.4 mmol/LFalling
- Next testIn 3 monthsReminder set
Read the explainerClinic staff
Day schedule, live queue with real waiting times, consultation notes, prescriptions, insurance coverage state, and the recall list for patients who are overdue.
Live queue
Morning clinic, one branch
- Waiting7 patients12 min
- In consultation3 rooms
- Overdue recall5 patientsCall list
Open the recall listThe laboratory
Accessioning, rejection with a reason, analysis, delta checks that hold a result, validated release under a named signature, and a critical-value console with a documented read-back.
Laboratory worklist
Accessioning to validated release
- Accessioned18 samples
- Held by a delta check1 sampleReview
- Critical valueRead-back openClock running
Release under signature
Three decisions that shaped it
- 01
Consent is a record, not a setting
A family member's results are invisible until consent exists, and every switch of patient writes an access-log line. Health data makes this the difference between a product and a liability.
- 02
The dangerous result drives the design
A critical value has a clock, a call attempt history, and a closure that requires the full name and role of the person reached. That artifact is what an inspector asks for.
- 03
Turnaround becomes a number you manage
Time from accessioning to release is measured per department and per stage, so a slow step is visible before a patient complains about it.
How it is built
- Units and reference bands are modelled properly; a wrong unit or an impossible turnaround would end the product's credibility in one screen.
- Insurance is shown as coverage state and patient share, with pre-authorisation where the policy requires it.
- Every AI block is labelled, shows its inputs, and never diagnoses or prescribes.
- Arabic first with right-to-left throughout, complete English, Latin numerals, and units kept left-to-right inside Arabic lines.
Next product
Running clinics, a laboratory, or both?
Turnaround time and no-show rate are the two numbers worth fixing first. Tell us where yours sit.
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