I'm a medical doctor. The scariest decisions in medicine happen where there is no doctor.

When someone falls sick far from a hospital, a health worker (or the family) has to decide in seconds: is this an emergency, or can it wait? Guess wrong, and someone can die waiting.

For the Base44 Challenge I didn't want to ship a pretty landing page. I built the tool I wish those health workers had.

Meet TriageLine: WHO-grounded triage decision support, built entirely in Base44.

THE KEY IDEA Most AI health tools let the model make things up. TriageLine does not. The AI only NAMES the condition. A verified WHO protocol table then decides the severity, the exact dose, and the next step, with a page citation on every card. The AI cannot change a number on it. And if no protocol matches, it abstains: no citation, no plan, refer to a clinician.

HOW IT WORKS

Type the case in plain words, one free-text box: "child, 2 years, cough, fast breathing, too weak to feed."

The AI classifies it against the WHO list.

A verified WHO table (IMCI and mhGAP) returns the severity band, the exact dose, the next step, and the citation.

If it is an EMERGENCY, TriageLine automatically emails a doctor the full clinical summary to come in and escalate, and gives the patient an action-only summary.

Every case is recorded: a triage queue, an audit log, and analytics including time saved.

WHAT I BUILT

One-box intake plus AI classification across 30+ conditions

A verified WHO protocol table that binds every dose and citation, so no numbers are ever invented

EMERGENCY email escalation to a doctor, a real working automation

A patient-facing, action-only summary

A staff console: triage queue, audit log, analytics, role references

A safety abstain path when no WHO protocol matches

A dark, clinical design with a signature Pathway decision-spine that draws the one-way flow: the AI classifies, the table decides

THE PROCESS As a doctor, I went deep into the WHO triage protocols, the IMCI and mhGAP guidelines written for exactly these settings, and worked out how each case should map to a severity, a dose, and a next step. Then I designed the trust architecture (AI classifies, verified table decides) and built all of it in Base44: the data model, the roles and auth, the AI classification, the WHO protocol table, and the email escalation. Then I tested it live end to end, a real emergency case producing the cited card and a real delivered email to the doctor.

It is live. Try it: triage-line-flow.base44.app

#Base44Challenge @Base44