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AI Tool 'Day Three' Flags At-Risk Newborns Without Making Medical Decisions

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A developer built Day Three, an AI-assisted maternal health tool, for the All Things Agentic Hackathon to address a critical gap in postnatal care in rural India. The system tracks mothers and newborns after discharge from health centres, sending follow-up prompts at WHO-recommended intervals — Day 1, 3, 7, 14, and 42 — and accepts responses via keypad, free text, or silence. When a danger sign is reported, the tool automatically books a clinic slot, alerts the on-call nurse, logs the case, and sends a Hindi SMS, all without human routing. Crucially, the AI is architecturally restricted from making clinical decisions: it can only flag concerns, while all diagnoses and symptom clearances must be confirmed by a human nurse. The prototype runs on Google Cloud Run with Firestore and Gemini, though the developer notes that no clinician has formally reviewed the rule set and all patient data used in testing is synthetic.

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AI Tool 'Day Three' Flags At-Risk Newborns Without Making Medical Decisions · ShortSingh