xavierjflanagan/Guardian

AI Summary: Implement comprehensive performance monitoring for the Guardian healthcare application. This involves setting up query tracking, creating slow query alerts, building synthetic data generators for load testing, developing automated performance regression tests, and creating a production dashboard for monitoring and alerting. The goal is to proactively identify and address performance bottlenecks before they impact users.

AI Summary: Implement comprehensive healthcare compliance features in the Guardian application, including audit logging for all PHI access and modifications, session management with timeouts, data retention policies, role-based access control, and a compliance dashboard. This involves database schema changes, service creation for logging and session management, middleware implementation, and potentially UI updates for the admin dashboard. Thorough testing and documentation are also required to ensure HIPAA compliance.

AI Summary: Implement robust file upload security measures in a healthcare application to prevent vulnerabilities like path traversal, malicious file uploads, and data breaches. This involves creating a file validation utility to sanitize filenames, validate file types and sizes, and perform MIME type verification. The solution needs to handle errors gracefully, log security events, and adhere to best practices for healthcare data security. Client-side validation should also be added.