Case Study

Driving Digital Transformation with Data-Driven Modernization

40%

Reduced app rendering time by 40%, delivering a smoother and faster user experience.

45%

Automated workflows reduced manual intervention by 45%, enhancing developer productivity and enabling faster feature rollouts.

INDUSTRY: Healthcare, Health Technology, Behavioral Health

SOLUTION: Advanced Data & AI Solutions

PLATFORM USE CASE: Delta Lake, data science, machine learning, ETL

CLOUD: AWS

HEAQUARTERS: McLean, Virginia

About the Client

A leading organization specializing in employee well-being and assistance programs has been addressing mental health and behavioral health challenges for over 30 years. Offering services like counseling, coaching, and advising, the company empowers organizations to enhance performance, satisfaction, and retention.

After a corporate acquisition, the organization identified a need to modernize its digital platform to reflect its new identity and improve operational efficiency, data security, and accessibility compliance. Partnering with DNAMIC, a leader in health informatics and AI-powered healthcare solutions, the organization leveraged Databricks on AWS to create a scalable, data-driven platform designed to transform service delivery and user experience.

The Challenge

Outdated Codebase and Dependencies:

A legacy React-based application caused slow data processing, increased latency, and security vulnerabilities.

Limited Testing and Documentation:

The lack of unit testing, functional testing, and API documentation reduced the platform’s reliability and scalability.

Accessibility Compliance Issues:

An audit revealed significant non-compliance with WCAG standards, impacting usability for users with disabilities.

Rebranding Requirements:

Post-acquisition, the platform required a full rebranding and seamless content migration to align with the new corporate identity.

The Approach

DNAMIC implemented a data-centric modernization strategy, leveraging Databricks on AWS to address the platform’s limitations and enhance its scalability, security, and accessibility. The key goals included:

Modernizing the codebase and data pipelines to improve performance and operational reliability.
Ensuring accessibility compliance and delivering a fully inclusive platform aligned with health technology standards.
Rebranding the platform to reflect the new corporate identity.
Enhancing operational efficiency through automation, testing, and streamlined workflows.

Technical Implementation

Data Pipeline Modernization:

Migrated the mobile application framework from React Native to Expo, optimizing workflows and reducing technical debt.
Updated backend dependencies to modern standards, ensuring reliability, scalability, and data integrity.

Rebranding and Content Realignment:

Upgraded the content management system from Drupal 8.9.2 to Drupal 10.2, facilitating seamless data migration and integration.
Redesigned the platform to reflect the new corporate branding and improve user experience (UX).

Accessibility and Security Enhancements:

Achieved 100% WCAG compliance, ensuring the platform is inclusive for users with disabilities.
Strengthened data security using Cognito authentication and robust encryption for API endpoints.

Performance Optimization:

Integrated Expo Application Services (EAS) to enable Over-the-Air (OTA) updates, simplifying the deployment of new features.
Conducted rigorous testing to optimize data processing workflows and improve system performance.

Operational Efficiency:

Implemented unit testing and comprehensive API documentation, reducing development time by 30% and improving maintainability.

Results and Impact

Performance Enhancements:

Reduced app rendering time by 40%, delivering a smoother and faster user experience.
Optimized workflows led to a 25% reduction in app size, improving load times.

Accessibility Compliance:

Achieved 100% accessibility compliance, creating an inclusive platform for all users.

Operational Efficiency Gains:

Automated workflows reduced manual intervention by 45%, enhancing developer productivity and enabling faster feature rollouts.

Scalability:

The platform now supports significantly larger data volumes while maintaining consistent performance and reliability.

Tech Stack

Mobile Framework: React Native, Expo
Backend: Node.js, Firebase
CMS: Drupal 8.9.2 → Drupal 10.2
Authentication: Cognito
Continuous Integration: Expo Application Services (EAS)

Future Vision

Advanced AI Capabilities:

Integrate predictive analytics to provide users with personalized insights and support.
Use machine learning to analyze trends in behavioral health, enabling data-driven service improvements.

Global Expansion:

Adapt the platform to meet international healthcare compliance standards and extend its reach to a global audience.

Enhanced Personalization:

Leverage health informatics to deliver tailored recommendations based on user preferences and historical data.

Collaborative Research:

Partner with academic institutions to analyze anonymized data for research in mental health and behavioral sciences.

Final Insights

By leveraging Databricks on AWS, DNAMIC transformed the organization’s digital platform into a modern, scalable, and data-driven solution. The project significantly improved performance, accessibility, and operational efficiency, aligning the platform with the organization’s mission of empowering mental and behavioral health. This case study highlights how advanced AI and data engineering can drive innovation and long-term success in the healthcare technology sector.

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