AI symptom checker that gives you a priority referral for Zambian public clinics
Zambia's public healthcare system is critically understaffed, forcing patients to endure long waits, reduced care quality, and higher health risks.
TriageZed uses AI to assess symptoms through a simple conversational interface, provides self-care advice for minor issues, and generates a digital referral code that gives priority access at public clinics for serious cases. This reduces unnecessary visits to understaffed facilities while ensuring high-risk patients are seen faster.
Zambian citizens relying on public hospitals and clinics, especially in rural and low-income areas
AI model fine-tuned on Zambian disease prevalence (malaria, TB, HIV-related conditions) using local Ministry of Health protocols and Chichewa/Bemba language support.
professional
Conversational interface in English and local languages to describe symptoms
Outputs urgency level based on local health guidelines
Generates scannable code that participating clinics treat as priority
Suggests best public facility based on triage level and current reported busyness
Evidence-based advice for low-risk cases with local remedy awareness
Stores previous assessments for longitudinal view
Step-by-step instructions for using government-distributed test kits
Option to share triage with nearest CHW for follow-up
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| phone | text | No |
| preferred_language | text | No |
| district | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| symptoms_json | text | No |
| triage_level | text | No |
| referral_code | text | Yes |
| clinic_recommended | uuid | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| district | text | No |
| accepts_triage_referrals | bool | No |
Relationships:
/api/assessSend symptoms to AI triage engine and return recommendation
/api/referrals/generateCreate scannable referral code for high priority cases
/api/historyRetrieve user's past assessments
1 referral code per month
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 1,200 | 6% | $2,520 | $30,240 |
| Month 6 | 8,500 | 11% | $32,670 | $392,040 |
Get instant advice and priority referrals so you only visit the clinic when you truly need to.
Run workshops with Community Health Workers in Luapula and Eastern provinces demonstrating the tool and offering them Premium accounts. Partner with two large faith-based clinics that see high volumes of walk-ins. Seed via targeted ads on Facebook to users who follow Ministry of Health pages.
Strong AI diagnostic engine
Generic model not tuned for African disease patterns or public system integration
Zambia-specific training data and direct integration with public clinic priority protocols
Proprietary dataset of anonymized Zambian triage outcomes that continuously improves the model, creating a data moat specific to local epidemiology.
Recent improvements in lightweight LLM inference combined with Zambia's new digital health strategy and widespread availability of basic smartphones capable of running the app.
Medical advice liability in low-resource setting
Clear disclaimers, partnership with licensed clinicians for oversight, and focus on triage rather than diagnosis
Clinics not honoring digital referrals
Start with clinics that sign MOUs and expand based on proven pilot data
Success: 85% find the interface easy and would use again
Success: At least 82% agreement on urgency level
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