🏥 CarePath Analytics

🏥 CarePath: Healthcare Product Analytics & ML System

🎯Live App: Live App: https://jn4vvly3pf2qrnfkrgka2t.streamlit.app

GitHub: https://github.com/Denis0242/CarePath

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📌 Executive Summary

Advanced healthcare analytics system combining product analytics, machine learning, and clinical insights to optimize patient care pathways.

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🎯 Business Problem

Healthcare systems need to:

• Improve patient flow
• Optimize care pathways
• Predict patient outcomes

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📊 Dataset

• Patient journeys
• Clinical events
• Treatment data

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📈 Key Metrics

• Patient flow efficiency
• Treatment success rates
• Retention / follow-up rates

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🔍 Analysis

• Patient journey mapping
• Funnel analysis (care pathways)
• Cohort tracking

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🤖 Modeling

• Predictive models for patient outcomes
• Risk scoring

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💡 Insights

• Bottlenecks in care pathways identified
• Certain treatments improve retention

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✅ Recommendations

• Optimize care pathways
• Target high-risk patients

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🎯 Decision

• Implement optimized care pathways
• Deploy predictive model for intervention

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💰 Business Impact

• Improved patient outcomes
• Increased operational efficiency

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📊 Dashboard Preview

(Insert Streamlit screenshots)

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⚙️ Tools & Tech Stack

Python, ML, Streamlit, SQL

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▶️ How to Run

streamlit run app.py

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📁 Project Structure

CareFlow/ │── app.py │── models/ │── data/ │── README.md

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📌 Author

Denis Agyapong