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Development of a Cloud-Based Cardiology Data Management Platform with Advanced ECG Analytics and Reporting
  1. case
  2. Development of a Cloud-Based Cardiology Data Management Platform with Advanced ECG Analytics and Reporting

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Development of a Cloud-Based Cardiology Data Management Platform with Advanced ECG Analytics and Reporting

cogniteq.com
Medical
Information technology

Challenges in Cardiac Data Management

The client required a unified system to streamline ECG data analysis, patient report creation, and remote cardiac monitoring. Existing manual processes hindered rapid diagnosis, compromised data security, and limited integration with modern diagnostic tools, reducing clinical efficiency and patient-centered care delivery.

About the Client

A leading US-based healthcare institution specializing in cardiology research and patient care, seeking to enhance cardiac monitoring capabilities through advanced data analytics.

Key Project Goals

  • Develop a centralized platform for managing cardiac monitoring data and patient reports
  • Optimize clinical workflows for arrhythmia detection and cardiovascular disease diagnosis
  • Ensure compliance with GDPR and HIPAA data protection regulations
  • Enable seamless integration with existing medical devices and electronic health records (EHR)

Core System Functionalities

  • Digitized patient registration and patch monitor data entry
  • Real-time ECG data visualization and analysis tools
  • Automated critical event notifications and report status alerts
  • Role-based access control for patient data and reports
  • Cloud-based secure storage with encryption
  • API integration for third-party systems (e.g., Amazon EMR, EHR)

Technology Stack

.NET C#
ASP.NET MVC
ASP.NET CORE
DevExtreme
DevExpress
Microsoft Azure
JavaScript
CSS
HTML

System Integrations

  • Amazon EMR for data processing
  • Electronic Health Record (EHR) systems
  • Portable cardiac monitor APIs

Non-Functional Requirements

  • GDPR and HIPAA compliance for data security
  • High availability and scalability on cloud infrastructure
  • Low-latency real-time data processing
  • User-friendly interface for medical staff

Expected Business and Clinical Impact

The platform will reduce diagnostic delays by enabling instant ECG analysis, improve patient outcomes through accurate arrhythmia detection, and enhance operational efficiency via automated reporting. Compliance with healthcare regulations will mitigate data breach risks, while seamless device integration will future-proof the institution's cardiac monitoring capabilities.

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