Improving Individual Patient Experience

Patient coordination of care and leveraging macro trends for further gains

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A large regional healthcare system had the vision to change the way they connected patient information.

Overview

Visiting your health care provider these days can be frustrating. With the growth of large regional and national providers, resources have multiplied but many times as you are dealing with a health issue you have to repeat your entire health history. This is especially frustrating when the name over the door is on every location you visit. If they can’t put all of your information in one place and make sense of it, how can they effectively leverage population data and clinical outcomes to move the patient experience to the next level?

The Solution

The bank engaged Myridius to implement Microsoft GitHub Copilot to infuse its development and QA processes with a promising cutting-edge productivity tool. The implementation followed a structured approach prioritizing user adoption and mastery of the AI-powered development assistant.  

The onboarding process was comprehensive and thoughtful. The team engaged in discussions that introduced GitHub Copilot and its basic usage patterns. Rather than rushing into full implementation, proper training and experimentation was conducted, allowing the team to ease into AI-led engineering processes.  

To foster a culture of knowledge sharing, the bank established bi-weekly meetups where developers could exchange usage patterns and innovative ideas. This collaborative approach accelerated learning and helped identify best practices. In addition, special events showcased user growth and measurable impact, encouraging broader adoption across the organization. 

6-Month Microsoft Github Copilot Implementation Timeline 

  • Month 1: Access requests & environment setup
  • Month 1-2: Initial training & discussions
  • Month 3: Basic pattern mastery
  • Month 3-6: Continuous improvement & collaboration
  • Ongoing: Bi-weekly meetups & showcase events 

The comprehensive solution addressed each technical challenge systematically:

  • Faster Code Refactoring: Copilot provided intelligent code suggestions and refactoring assistance, helping developers rewrite and optimize the existing codebase for the new architecture.  
  • Guided Migration Process: The tool offered code snippets and best practices for integrating the new framework/library components.  
  • Faster Compliance Resolution: Copilot helped identify and resolve compliance issues by analyzing code and suggesting necessary changes.  
  • Automation Script Migration: Facilitated the migration of automation scripts from Eggplant to Karate and generated new scripts based on test cases from TestRail.
  • Pipeline Configuration: Copilot assisted in analyzing and updating GitLab pipeline configurations to ensure smooth integration and deployment processes.

The Results

The implementation of GitHub Copilot transformed the bank's development capabilities. The solution achieved significant improvements across multiple areas:

  • Reduced Code Refactoring Effort: Accelerated legacy code restructuring and optimization.
  • Cut Test Automation Script Development Effort by 50%: Halved automation script development time through Eggplant to Karate migration.
  • Improved Code Quality: Quickly identified code errors and provided optimization suggestions. 

GitHub Copilot delivered transformative results across multiple metrics. 

DEVELOPMENT METRIC

BEFORE INTEGRATION

AFTER INTEGRATION (5 MONTHS)

IMPROVEMENT METRICS

Development Productivity 

884 commits 

2,000+ commits 

↑ 126% increase 

Code Output 

48,000 lines 

491,000 lines 

↑ 923% increase* 

Testing Efficiency 

Baseline 

Optimized 

↓ 50% effort reduction 

* The significant increase in code volume reflects the comprehensive modernization activities that occurred alongside the GitHub Copilot implementation. This included major refactoring and removal of unused code components, which contributed to the overall increase in lines of code changes reported. 

Beyond the quantitative improvements, the implementation created lasting organizational benefits. The collaborative learning environment established through bi-weekly meetups and knowledge-sharing sessions created a culture of continuous improvement and AI-powered development excellence.  

The strategic outcomes have positioned the bank for sustained competitive advantage. The modernization initiative was successfully completed, leading to an enhanced merchant onboarding and servicing portal that better meets customer needs and responds to market demands. Establishing AI-enhanced development workflows created a scalable foundation for future innovation projects while demonstrating success and encouraging broader adoption of GenAI tools across the organization. 

In summary: Accelerate Digital Transformation Initiatives with AI-Powered Engineering 

Development teams are under constant pressure to deliver faster while maintaining quality. Manual processes and legacy workflows create bottlenecks preventing organizations from meeting growing demands.  

GitHub Copilot delivers intelligent code suggestions, automated testing, and streamlined development workflows, seamlessly integrating with existing development environments and processes.  

Myridius enhances this transformation by providing expert implementation guidance, best practices, and accelerated adoption strategies tailored to your organization's specific needs.  

With Myridius, organizations can:  

  • Transform legacy systems with AI-assisted code refactoring and migration.
  • Reduce development time by 50% through intelligent automation and testing.
  • Leverage proven methodologies to enhance productivity across Engineering, QA, and DevOps teams.  
Ready to accelerate your own modernization initiative? Contact Myridius to explore how GitHub Copilot can transform your development process.
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