Quality assurance · Production

GitHub AI-powered healthcare platform: code up to 55% faster with Copilot

The problem

Healthcare development teams need to build secure patient care solutions at scale, reduce time-to-market, and maintain compliance while improving developer productivity.

Workflow diagram · grounded in source
1
AI-accelerated development
ai_action
“By enabling your developers to code up to 55% faster, you can stay ahead of advancements and innovate services while remaining secure and compliant.”
2
Vulnerability and credential scanning
validation
“Create more secure healthcare applications by detecting vulnerabilities in your codebase and preventing credentials from being exposed.”
3
Automated CI/CD deployment
integration
“Reduce time-to-market and improve responsiveness to patients and stakeholders by using enterprise-ready, scalable CI/CD.”
Reported outcome

GitHub's platform delivers 88% more productivity with GitHub Enterprise and approximately 25% increase in developer speed with Copilot, with developers coding up to 55% faster.

Reported metrics
developer productivity with GitHub Enterprise88%
repo set-up time with GitHub Codespaces1 min
developer speed increase with GitHub Copilot~25%
Coding speed increase55%
Reported stack
GitHub CopilotGitHub Advanced SecurityGitHub ActionsGitHub CodespacesGitHub Enterprise
Source
https://github.com/solutions/industry/healthcare
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

GitHub's platform delivers 88% more productivity with GitHub Enterprise and approximately 25% increase in developer speed with Copilot, with developers coding up to 55% faster.

What tools did this team use?

GitHub Copilot, GitHub Advanced Security, GitHub Actions, GitHub Codespaces, GitHub Enterprise.

What results were reported?

developer productivity with GitHub Enterprise: 88%; repo set-up time with GitHub Codespaces: 1 min; developer speed increase with GitHub Copilot: ~25%; Coding speed increase: 55% (source-reported, not independently verified).

How is this quality assurance AI workflow structured?

AI-accelerated development → Vulnerability and credential scanning → Automated CI/CD deployment.

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