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Development of a Highly Scalable Healthcare Ecosystem with REST APIs and Data Management
  1. case
  2. Development of a Highly Scalable Healthcare Ecosystem with REST APIs and Data Management

Development of a Highly Scalable Healthcare Ecosystem with REST APIs and Data Management

sysgears.com
Medical
Information technology

Healthcare Organization Challenges in Data Management and System Scalability

The client requires a comprehensive healthcare software ecosystem to manage patient and client data efficiently, facilitate rapid communication via email and SMS, and support scalable performance to handle Growing data volumes and user demands. Existing systems lack flexibility and performance, hindering timely decision-making and regulatory compliance. The organization seeks a platform that supports secure data handling, testing, and reporting capabilities to enhance operational efficiency.

About the Client

A mid to large-sized healthcare organization aiming to streamline patient data, communication, and analytics through a modern, scalable software platform.

Goals for Building a Robust, Scalable Healthcare Software Platform

  • Design and implement a scalable REST API-based system capable of handling high performance and large data volumes in the healthcare industry.
  • Develop comprehensive client data management tools for validation, transformation, and bulk import processes.
  • Provide test data management services to facilitate QA processes with direct access through web interfaces.
  • Integrate advanced reporting tools for QA, marketing, and maintenance with export and publishing options.
  • Implement reliable email and SMS notification features utilizing third-party communication APIs.
  • Ensure system robustness through continuous integration, stress testing, and fault tolerance measures to meet performance benchmarks.
  • Build the platform using modern, adaptable technologies to support future growth and compliance requirements.

Core Functional Requirements for Healthcare Ecosystem Development

  • RESTful API services developed with a high-performance backend (e.g., Scala-based architecture) supporting large data throughput.
  • Client data management module for validating, transforming, and importing consumer information via lightweight web applications.
  • Test data creation and manipulation endpoint accessible through a dedicated REST service, with web client integration for QA.
  • Reporting module leveraging reporting and ETL tools to generate and distribute reports in various formats, with options for direct publishing.
  • Email and SMS notification system integrated with major providers to facilitate reliable communication with end-users.
  • Support for continuous integration pipelines, stress testing, and fault tolerance to ensure system reliability under high load.

Recommended Technologies and Architectural Approach

Scala for REST API development
MongoDB for NoSQL data storage
Akka for reactive and concurrent system components
Spray (or modern equivalents like Akka HTTP) for HTTP layer
Angular for lightweight client web applications
Integration with CI tools such as Gatling, Spock frameworks for testing

External Systems and Communication APIs Integration Needs

  • Third-party email delivery services (e.g., Amazon SES, Mailgun)
  • SMS notification providers (e.g., Twilio)
  • Reporting and ETL tools to facilitate report generation and distribution

Non-Functional Requirements Ensuring System Performance and Security

  • High scalability to accommodate increasing data volumes and user base
  • Performance benchmarks including system stress testing for fault tolerance
  • Secure data handling compliant with healthcare regulations
  • Fast response times and high throughput capacity
  • Reliable communication channels with minimal delivery failure rates

Business Benefits and Project Impact Expectations

The new healthcare ecosystem is expected to improve data management efficiency, enable faster communication, and support scalable growth. It aims to significantly reduce operational delays, enhance regulatory compliance, and facilitate comprehensive reporting, ultimately yielding improved decision-making capabilities and operational agility in the healthcare delivery process.

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