A HIPAA-compliant healthcare data management system focusing on patient records, appointment scheduling, and secure data handling.
This project plans to create a healthcare data management API that prioritizes security, compliance, and data integrity. Drawing from my healthcare background, it will address real-world needs for patient data management while maintaining strict privacy standards.
Healthcare providers need secure, compliant systems for managing patient data, but many existing solutions are either too expensive or don't adequately address privacy requirements. There's a need for a well-designed API that balances functionality with strict security measures.
The solution will involve building a Node.js/Express API with MongoDB for flexible document storage, implementing encryption at rest and in transit, comprehensive audit logging, and role-based access control. The system will be designed with HIPAA compliance in mind from the ground up.
Ensuring all aspects of the system meet HIPAA requirements for patient data handling.
Implement comprehensive encryption, access controls, audit logging, and data retention policies according to HIPAA guidelines.
Protecting sensitive patient information from unauthorized access or breaches.
Use industry-standard encryption, implement proper authentication and authorization, and regular security audits.
Maintaining fast response times as the dataset grows with thousands of patient records.
Implement efficient database indexing, caching strategies with Redis, and pagination for large datasets.
I'm always happy to discuss my projects in more detail and explain how the experience applies to new challenges.