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Development of a Role-Based Data Aggregation and Visualization Platform for Elderly Care Highlights
  1. case
  2. Development of a Role-Based Data Aggregation and Visualization Platform for Elderly Care Highlights

Development of a Role-Based Data Aggregation and Visualization Platform for Elderly Care Highlights

euvic.com
Medical
Information technology

Identifying Challenges in Data Integration and Accessibility for Elderly Care Monitoring

The client faces difficulties in aggregating, managing, and presenting data collected from various sensors and user inputs related to elderly wellbeing. Caregivers, family members, and healthcare professionals struggle with accessing clear, role-based insights. Existing solutions lack a unified platform that simplifies data interpretation, device management, and role-specific access, hindering early detection of health deterioration and effective care decisions.

About the Client

A healthcare technology company specializing in remote monitoring solutions for elderly care, aiming to enhance autonomy, wellbeing, and health management in senior living facilities.

Goals for Creating a Unified Data Analytics and Access Platform in Elderly Care

  • Develop an application that aggregates data from multiple IoT sensors (temperature, humidity, health metrics) and user input concerning health and assistance needs.
  • Implement a customizable analytical dashboard that presents data visually through charts and statistics tailored to different user roles.
  • Establish secure role-based access control for caregivers, family, and healthcare professionals, ensuring appropriate data visibility and management rights.
  • Enable seamless device and user management functionalities, including bulk import and comprehensive management views.
  • Design an intuitive, user-friendly interface suitable for the consumer market, supporting both desktop and mobile devices.
  • Leverage scalable and secure cloud infrastructure for data processing and storage, supporting future growth and feature expansion.

Core Functional Specifications for Elderly Monitoring Application

  • Data import modules supporting sensor data and user-entered health information.
  • Configurable analytical dashboard with customizable charts for visual data insights.
  • Role-based access control with granular permissions for caregivers, family, and professionals.
  • Bulk import functionality for devices and users, facilitating rapid setup.
  • Management views for handling personal data, role assignments, and guardian associations.
  • Responsive interface optimized for desktop and mobile platforms.

Preferred Technology Stack and Architectural Approaches for the Platform

Cloud infrastructure with scalable services
Microservices architecture
Security protocols leveraging role-based access
Modern frontend frameworks such as React and TypeScript
Backend development with .NET Core and EF Core
Real-time data handling via MQTT and message queuing with Azure Service Bus

Essential External System Integrations for Data and Device Management

  • Sensor and device data collection APIs
  • Authentication and identity management systems
  • Communication protocols for real-time data transfer (e.g., MQTT)
  • Data storage and processing services (e.g., cloud databases)

Critical Non-Functional System Attributes and Performance Metrics

  • High data security and compliance with privacy standards
  • System scalability supporting increasing device and user volumes
  • Strong performance with real-time data updates and minimal latency
  • High availability and fault tolerance through cloud deployment
  • Ease of use for non-technical end-users

Projected Business Outcomes and Impact of the Elderly Monitoring Platform

The new platform aims to streamline elderly health data management, enabling early detection of health issues and improving response times. It will facilitate better decision-making for caregivers and family members, potentially reducing health deterioration rates and operational costs. Enhanced data visualization and role-based access will improve user engagement, leading to more proactive and personalized care strategies. The scalable infrastructure will support future feature expansion and increased user adoption.

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