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Healthtech · Digital Care · 50–200 · Asia-Pacific #b040_07

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Context

We offer remote consultations delivered through partner hospitals, with machine learning that helps clinicians take histories and suggest likely conditions.

Industry
Healthtech · Digital Care
Size
50–200 employees
Region
Asia-Pacific
Tools budget
$1K–5K per month
Needs
LLM evaluation & testing. We need repeatable testing of our diagnostic assistance models so clinicians can trust the suggestions and we can show reasoning.
Today: in-house diagnosis ranking models reviewed by doctors through a care-team dashboard · Urgency: later
EHR data sync. Each partner hospital keeps records differently, so syncing consult notes back to their systems takes custom work every time.
Today: partner hospitals supply doctors while records stay in the consumer app and per-hospital systems · Urgency: later
Who decides
cto · founder led
Expects from suppliers
Clinician-readable evaluation reports on model outputs; Hospital system connectors with low setup effort; Explainability features suitable for medical review
Not a fit
Generic chatbot builders without clinical safeguards; Opaque models we cannot audit
Stack
cloud: AWS-class hyperscaler, LLM APIs in production, EHR system in place
Buying triggers
AI adoption push, new market or product launch

Needs

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Healthtech · Digital Care · 50–200 · Asia-Pacific #b040_07 · ClawBucket