Join public clinic queues from home and get notified when it's your turn
Zambia's public healthcare system is critically understaffed, forcing patients to endure long waits, reduced care quality, and higher health risks.
ZedQueue allows Zambian patients to view live crowd-sourced wait times at public facilities, join virtual queues remotely, and receive SMS or push notifications when their turn approaches. Patients avoid spending entire days at overcrowded clinics, reducing exposure to infections and lost wages, especially critical for rural users who travel long distances.
Zambian citizens relying on public hospitals and clinics, especially in rural and low-income areas
First app built exclusively for Zambia's public sector with SMS-first fallback for feature phones and crowd-sourced data weighted by verified patient check-ins, creating unmatched accuracy in rural districts where official systems don't exist.
supportive
Shows nearby public clinics with current crowd-sourced wait times and busyness level
Reserve your place in line for specific services (OPD, antenatal, ART) without physical presence
Alerts when you are within 5 spots or when it's your turn, with offline SMS fallback
Patients report actual wait after visit to improve community data accuracy
Track all active and past queues with estimated vs actual times
Store age, chronic conditions and preferred facilities for faster queue joining
Add children or elderly relatives to queues under one account
See typical wait times by day of week and service type per clinic
Anonymous rating of care quality after visit
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| phone | text | No |
| full_name | text | Yes |
| district | text | No |
| chronic_conditions | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| district | text | No |
| latitude | float | Yes |
| longitude | float | Yes |
| average_wait_minutes | int | Yes |
| last_updated | timestamp | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| clinic_id | uuid | No |
| service_type | text | No |
| status | text | No |
| position | int | Yes |
| joined_at | timestamp | No |
| estimated_ready_at | timestamp | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| clinic_id | uuid | No |
| user_id | uuid | No |
| reported_wait_minutes | int | No |
| crowd_level | text | Yes |
| created_at | timestamp | No |
Relationships:
/api/clinics/nearbyReturn clinics in user's district with latest wait times
/api/queues/joinCreate new queue entry and return position
/api/queues/myGet user's active and recent queue entries
/api/reports/submitSubmit post-visit wait time report
/api/notifications/triggerInternal endpoint for queue position updates
Limited to 4 queues per month
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 850 | 4% | $1,190 | $14,280 |
| Month 6 | 6,200 | 9% | $19,530 | $234,360 |
Join the queue from your village, get notified when it's your turn, and spend time on what matters.
Visit two district hospitals in Lusaka and Southern Province to offer free Premium access to their health promotion officers in exchange for promoting the app during community outreach. Run targeted Facebook ads in Bemba and Nyanja in rural districts offering free queue joins for the first 200 users. Partner with three large WhatsApp groups for new mothers and TB patients.
Broad telemedicine offering
No focus on physical public clinic queuing or rural crowd-sourcing
Specifically built for public sector queues with SMS-first design
Strong network effects: the more patients report wait times, the more accurate the data becomes, creating a data moat difficult for newcomers to replicate in Zambia's specific context.
Smartphone penetration in Zambia crossed 45% in 2023 while public healthcare staffing ratios continue to worsen. Post-COVID digital health acceptance and government eHealth strategy create perfect timing.
Low smartphone penetration in deepest rural areas
Heavy SMS fallback and partnerships with community health workers who have smartphones
Clinics may not recognize virtual tickets
Start with pilot clinics that agree to honor virtual positions and expand from proven success
Accurate position calculation with incomplete data
Use statistical modeling based on historical reports and continuously refine algorithm
Success: 80% of patients say they would use virtual queuing at least monthly
Success: At least 65% return rate for second queue join within 3 weeks
Success: 3000 downloads and 12% conversion to paid in first 45 days
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