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The Healthcare Data Processing System is a robust, secure, and scalable solution for managing sensitive patient health data. Built using Microsoft Azure, this platform enables real-time data ingestion, secure storage, and seamless integration of healthcare data across systems.

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Healthcare-Data-Processing-System

Project : Healthcare Data Processing System

Client Requirement:

  • Process and store patient health data.
  • Secure data with Azure Key Vault and encryption.
  • Implement automated backups and disaster recovery.
  • Provide real-time data ingestion using Azure Event Hubs.

Solution Overview:

  1. Data Ingestion:
    Use Azure Event Hubs for real-time data ingestion.
  2. Storage:
    Store structured data in Cosmos DB (NoSQL) and blobs in Azure Storage.
  3. Security:
    Encrypt data using Azure Key Vault.
  4. Automation:
    Configure Azure Data Factory for data transformation and integration.
  5. Backup & Recovery:
    Use Azure Backup for disaster recovery.

Code Snippet:

# Create Event Hub Namespace and Hub
az eventhubs namespace create --name HealthcareNamespace --resource-group HealthRG --location eastus
az eventhubs eventhub create --name PatientDataHub --namespace-name HealthcareNamespace --resource-group HealthRG

# Create Cosmos DB Account
az cosmosdb create --name HealthDataDB --resource-group HealthRG --kind MongoDB --locations regionName=eastus failoverPriority=0 isZoneRedundant=false

# Configure Azure Key Vault
az keyvault create --name HealthVault --resource-group HealthRG --location eastus
az keyvault secret set --vault-name HealthVault --name "DatabaseKey" --value "MySecureKey123"

Architecture Diagram:

  • IoT Devices → Azure Event Hubs → Azure Data Factory
  • Azure Data Factory → Azure Cosmos DB + Azure Blob Storage
  • Azure Key Vault (encryption)
  • Azure Backup for disaster recovery

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The Healthcare Data Processing System is a robust, secure, and scalable solution for managing sensitive patient health data. Built using Microsoft Azure, this platform enables real-time data ingestion, secure storage, and seamless integration of healthcare data across systems.

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