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Secure and Scalable IoT Platform for Medical Device Data Management
  1. case
  2. Secure and Scalable IoT Platform for Medical Device Data Management

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Secure and Scalable IoT Platform for Medical Device Data Management

effectivesoft.com
Medical

Data Silos and Security Concerns with Medical Device Data

MedScan Technologies is experiencing challenges with data silos created by their distributed network of medical devices. They lack a centralized, secure, and scalable system for collecting, storing, analyzing, and backing up patient data generated by their devices. Concerns exist around data security, HIPAA compliance, and the need for rapid data access for analysis and future algorithm development. Current methods are prone to errors, difficult to scale, and lack robust data recovery capabilities.

About the Client

MedScan Technologies is a rapidly growing medical device company specializing in advanced imaging solutions for diagnostics. They are focused on developing innovative devices and providing secure, reliable data management for healthcare providers.

Project Goals

  • Develop a secure and scalable cloud-based platform for centralizing data from MedScan's medical devices.
  • Ensure HIPAA compliance through data anonymization, encryption, and role-based access control.
  • Enable rapid and easy access to anonymized patient data for analysis and reporting.
  • Implement a robust data backup and recovery system to minimize data loss.
  • Facilitate future integration of advanced algorithms for enhanced diagnostic capabilities.

Functional Requirements

  • Secure device registration and authentication.
  • Data ingestion from various medical devices.
  • Centralized data storage with versioning.
  • Data anonymization and encryption.
  • Role-based access control (RBAC) for data access.
  • Data search and retrieval capabilities.
  • Data analysis tools (reporting, basic pattern recognition).
  • Automated data backup and recovery.
  • API for integration with other systems.

Preferred Technologies

AWS IoT
Lambda
DynamoDB
KMS
S3
Docker
MQTT

Required Integrations

  • Potential integration with existing MedScan device management systems.
  • Integration with HIPAA-compliant reporting tools.

Non-Functional Requirements

  • High scalability to accommodate a growing number of devices and users.
  • High availability and reliability.
  • Robust security to protect patient data.
  • Performance to support real-time data analysis.
  • HIPAA compliance.

Expected Business Impact

This project will enable MedScan Technologies to unlock the full potential of their data assets, improve diagnostic accuracy, accelerate research and development, and meet stringent regulatory requirements. The secure and scalable platform will reduce operational costs associated with data management, improve data accessibility for clinical and research teams, and provide a foundation for future innovation.

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