Prolab LIS is a cloud-based Laboratory Information System designed to streamline laboratory operations, enhance sample and test management, ensure regulatory compliance, and improve communication between labs, patients, and healthcare providers.
Demo: https://app.prolablis.com
Key Features:
- Sample & Test Management: Efficient tracking, processing, and reporting of laboratory samples and tests.
- Quality Control: Efficient and automated quality control workflows
- Patient & Provider Portals: Secure access for patients and providers to view lab results and interact with the system.
- Billing Integration: Automated invoicing and insurance claim processing to streamline revenue cycle management.
- Data Analytics: Real-time dashboards and customizable reporting to track lab performance and productivity.
- Security & Compliance: Meets HIPAA, CLIA, and GDPR standards, with robust audit trails and role-based access controls.
Tech Stack:
- Backend:
- C# .NET: Used for enterprise-level backend services and integration with other healthcare systems.
- Node.js: Provides a lightweight and efficient server-side solution for APIs and real-time data processing.
- Apache NiFi: For automating data flows and integration between various systems, improving data movement and transformation.
- Frontend:
- React: Powers dynamic, responsive user interfaces for patient and provider portals, ensuring smooth and intuitive user experiences.
- APIs & Integrations:
- Superset: For advanced data visualization and business intelligence reporting, offering insights into lab operations and trends.
- Mattermost: For team collaboration and communication within the lab environment, enabling seamless interaction across teams.
- Hosting & Infrastructure:
- Private Cloud Hosting: Deployed on DigitalOcean, providing a scalable, secure, and cost-effective cloud environment for Prolab LIS, ensuring high availability and performance.
Impact:
Prolab LIS optimizes laboratory workflows, ensuring faster processing, improved accuracy, and enhanced decision-making through data analytics. The solution reduces manual intervention, supports seamless communication, and improves regulatory compliance, helping labs to operate more efficiently and deliver better service to patients and providers.
