Solution Database / Healthcare
Instant Dermatology Review
Rural clinics lack specialist access and face long referral queues that delay treatment. Skin concerns reviewed within minutes by AI and confirmed by a dermatologist, instead of waiting weeks for a referral.
01The offer
For public health district officers, turn clinical images and patient history into a specialist diagnosis and treatment plan. Address the problem of specialist shortages and long referral delays. The value hypothesis is a faster, more accessible diagnostic pathway that reduces patient travel and waiting times.
- For
- Public health district officers in Southeast Asia or East Africa
- Takes in
- Clinical images and patient history
- Delivers
- Structured differential diagnosis, biopsy code, treatment plan, prescription suggestions, billing code
- Message
- Get a specialist opinion in minutes not weeks
- Lead magnet
- Free demonstration for one clinic
02How it works
- Secure image upload and history entry
- AI vision model analysis of dermoscopic images
- AI language agent drafting differential diagnosis
- Specialist review and editing of AI draft
- Automated report generation with codes and treatment plans
- Integration with billing and patient records
Workflow
Nurse uploads clinical image and enters patient history, Vision model analyses the dermoscopic image, Language agent drafts a provisional differential diagnosis, Specialist reviews the AI draft on a mobile dashboard, Specialist edits the draft and approves the report, System generates the final structured report, Report is delivered to the clinic for immediate treatment
AI and people
A vision model trained on dermatology datasets analyses the image and a language agent drafts a structured differential diagnosis. A human specialist reviews the draft for accuracy and signs off on the final report.
Screens
Key screens: Image upload portal, specialist review dashboard, report delivery interface. Use a secure upload portal for the nurse, a mobile dashboard for the specialist, and a report viewer for the clinic. The specialist can edit the AI draft on their phone. The nurse receives the final report immediately.
Admin
User roles for nurses and specialists, audit trails for all reviews, version control for reports, access permissions based on clinic location
03Market gap
Alternatives buyers use today
Referral to central hospital which takes weeks, travel to capital city which is expensive, telemedicine which requires specialist availability
Where this wins
High quality dermatology dataset, established specialist network, liability protocols
04Why now
Healthcare teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: rural clinics lack specialist access and face long referral queues that delay treatment.
05Proof & signals
Channels where buyers gather: Public health networks, medical associations. Metrics that prove it works: Diagnosis accuracy rate, turnaround time reduction.
Paid pilot
Prove that diagnosis accuracy matches specialists and turnaround time drops from weeks to minutes.
06Execution plan
MVP
One clinical pathway for skin lesions, five volunteer specialists in one city, WhatsApp submission endpoint
First 30 days
Week 1: Train vision classifier on open datasets. Week 2: Build review queue for five specialists. Week 3: Launch WhatsApp endpoint. Week 4: Gather feedback and refine.
After the pilot
Automated triage for other conditions, mobile app for nurses, broader specialist network
Retention
Annual contracts, network effects
Integrations
Hospital records systems, billing systems, WhatsApp API
07Investment and running costs
| Phase | Scope | Time | Budget |
|---|---|---|---|
| MVP | One buyer segment, one recurring use case. Manual review in the loop. | 7 days | $11,500 |
| Paid pilot | Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers. | 8 days | $14,500 |
| Full product | Self-serve onboarding, billing, monitoring and the wider integration set. | 3 weeks | $20,500 |
| Total | $46,500 | ||
| Running | Hosting | AI usage | Total a month |
|---|---|---|---|
| MVP and paid pilot (about 3 customers) | $50–$100 | $80–$160 | $130–$260 |
| Full product (about 50 customers) | $190–$380 | $880–$1,750 | $1,070–$2,130 |
Revenue model to test
Flat annual license per clinic plus a fee per specialist review
Cost drivers
Specialist network management, server infrastructure, data storage
Safeguards
Scope restriction to one condition at a time, disclaimer that report is a decision aid, mandatory human sign-off
Take it further
Solution blueprint, rewritten from an earlier Nexibeo concept. Demand, pricing, build scope and integrations are working assumptions, not verified market findings. The MVP and the paid pilot exist to confirm them for your business before the larger build.