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Eddy Sanchez
Eddy Sanchez

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Predictive healthcare

Predictive halthcare

This is a submission for the Runner H "AI Agent Prompting" Challenge

What I Built

I developed a predictive AI system for chronic disease management using Runner H's agent orchestration capabilities. The solution combines multiple AI agents to analyze patient data patterns, predict disease progression, and recommend personalized intervention strategies for conditions like diabetes, hypertension, and cardiovascular disease.

Demo

[Include screenshots or video showing the patient data analysis dashboard, risk prediction interface, and automated alert system for healthcare providers]

How I Used Runner H

I leveraged Runner H's multi-agent architecture to create a coordinated workflow with specialized agents: a Data Processing Agent for ingesting health records, a Pattern Analysis Agent for identifying disease progression indicators, a Risk Prediction Agent for calculating personalized risk scores, and an Alert System Agent for notifying healthcare providers of high-risk patients.

Use Case & Impact

This solution benefits healthcare providers and chronic disease management programs by enabling early detection of complications, personalizing care interventions, and optimizing resource allocation. It improves patient outcomes through proactive management while reducing healthcare costs by preventing expensive emergency interventions.

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