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Real-Time Healthcare Monitoring with Predictive Analytics

Real-Time Healthcare

Real-Time Healthcare Monitoring with Predictive Analytics

  • Use Case: Hospitals and healthcare providers need to continuously monitor patients’ vital signs (heart rate, blood pressure, glucose levels, oxygen saturation, etc.) using wearable IoT devices. Early anomaly detection (e.g., heart attack risk, hypoglycemia) can prevent emergencies and reduce hospitalization costs.

Objective

  • To provide real-time patient health monitoring with predictive insights.

    To detect anomalies early and send alerts to caregivers/doctors.

    To use predictive analytics to forecast potential health risks based on historical and real-time data.

Project Description

  • This project builds a real-time healthcare monitoring system where IoT devices (wearables, sensors) stream patient data to the cloud. Azure services process, analyze, and visualize the data. Machine learning models predict anomalies (e.g., arrhythmia, glucose spikes) and trigger alerts to healthcare providers. The system ensures low latency, high availability, and security compliance (HIPAA/GDPR).
  • Key Steps :

    IoT wearables send data (ECG, glucose, oxygen, etc.) to Azure IoT Hub.

    Azure Stream Analytics processes and filters the incoming health data in real time.

    Azure Machine Learning / Synapse ML performs predictive analytics to detect anomalies.

    Azure Functions trigger alerts (SMS, Email, App notifications).

    Azure SQL Database / Cosmos DB stores patient records for history.

    Power BI dashboards provide visualization for doctors and hospital staff.
  • Azure Services & Purpose :
    Azure Service Purpose in Project
    Azure IoT Hub Securely connects and ingests data from IoT medical devices (e.g., wearables, monitors).
    Azure Stream Analytics Processes and analyzes real-time data streams; filters abnormal readings on the fly.
    Azure Machine Learning Trains, builds, and deploys predictive models for anomaly detection and risk forecasting.
    Azure Functions Event-driven serverless functions trigger alerts when anomalies are detected.
    Azure SQL Database / Cosmos DB Stores structured patient health records and unstructured time-series sensor data.
    Azure Event Grid Routes health alerts and system events to healthcare apps, notification systems, or workflows.
    Power BI Creates real-time dashboards for doctors, nurses, and hospital administrators.
    Azure Key Vault Secures encryption keys and sensitive patient health data.