Pediatric Symptom Triage Assistant

For

Parents of young children

Solves

Parents wake up to a sick child and struggle to determine if it is an emergency or requires home care.

Delivers

Structured triage plan, care instructions, risk assessment, doctor summary

Built in

about 4 weeks of creation time, MVP in 5 days

Investment

$9,500 for the MVP, $37,500 for the full product

Run it

Inside your business, or as part of your offer to clients

For parents of young children, turn symptom descriptions, photos and voice recordings into a structured triage plan and care instructions.

1. Capture symptoms via text, photo or voice.
2. Cross-reference age and medical history.
3. Analyse visual data for skin conditions.
4. Generate structured care instructions.
5. Identify red flags requiring immediate care.
6. Generate summary for medical professionals.

What goes in, what comes out

The workflow

1. In
   Start with

   Symptom descriptions, photos, voice recordings, child profile

2. 1

   Capture symptom

3. 2

   Upload photo

4. 3

   Record voice

5. 4

   AI analysis

6. 5

   Review care plan

7. 6

   Book doctor if needed

8. 7

   Receive summary for doctor

9. Out
   Finish with

   Structured triage plan, care instructions, risk assessment, doctor summary

AI does the heavy lifting, people stay in charge

Use multimodal models to analyse symptom descriptions, photos and voice recordings against medical knowledge bases. A parent must verify the child's identity and review the care plan before taking action.

What your team sees

Key screens: Symptom intake, analysis dashboard, doctor booking. Use a central intake screen for text, photo and voice inputs, a dashboard showing the triage result and care plan, and a booking interface for video consultations. The first view is the symptom intake screen followed by the analysis dashboard.

Accounts and administration

User profiles, history logs, care plan versions, audit trail of interactions

Integrations and data access

Telemedicine platforms, electronic health records

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   5 days

   One buyer segment, one recurring use case. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will parents of young children use it to solve "parents wake up to a sick child and struggle to determine if it is an emergency or requires home care"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. A paid pilot with 50 families proves value by reducing unnecessary ER visits compared to the baseline of calling nurse lines or driving to the hospital.
4. Measure, then decide. Track user satisfaction score and reduction in unnecessary ER visits. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. First cut is a subscription service for parents to triage minor illnesses using text and photos with manual review of the AI output

After the MVP. Voice interaction integration, automatic generation of doctor consultation summaries, and white-labeling for pediatric clinics

What the build depends on. Multimodal large language models, secure cloud infrastructure

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a monthly subscription of 9 USD

Message to test

Get a clear care plan for your sick child in seconds, not hours

Where to find buyers

Social media, parenting forums, pediatric clinics

Lead magnet

Free 3-day trial of triage features

The first 30 days

1. Week 1: Build symptom intake module.
2. Week 2: Develop triage logic and care plan generator.
3. Week 3: Test with 50 parents from local clinics.
4. Week 4: Refine based on feedback and safety checks.

Paid pilot

A paid pilot with 50 families proves value by reducing unnecessary ER visits compared to the baseline of calling nurse lines or driving to the hospital.

Success metrics

User satisfaction score and reduction in unnecessary ER visits

Retention and expansion

Subscription renewal and upselling to video consultations

Why clients would pick it

Accumulation of medical data and regulatory compliance creates a high barrier to entry

Alternatives and positioning

People use Google search, nurse hotlines or drive to the ER. This solution provides structured, multimodal analysis and immediate care planning

Main delivery costs

AI compute costs, data storage, medical liability insurance

The system must not provide a diagnosis, must always default to seeing a doctor for emergencies, and requires parental consent for all data processing