We developed a new real-time analytics portal that processes patient visit data and survey results for further analysis and reporting.
This product was designed so that:
- frontline employees can improve their service of nurses, physicians, etc.
- experience managers can track and manage the institution performance
- hospital leadership can monitor patient satisfaction level, increase patient experience, and timely react to incidents through feedback analytics and alerts
- Figuring out the business domain, available data structure, and sources
- Quickly switching from IT-dependent resource provisioning to self-service
- Migrating all the key customers to the new environment and setting automated deployments
- Maintaining a balance between infrastructure governance and freedom to provision resources for engineers
- Supporting the rapidly growing platform and improving major non-functional requirements
- Developed a real-time analytics portal for patient visit data and survey results
- Implemented a data pipeline for data ingestion and storage
- Migrated existing infrastructure to AWS, enabling a self-service platform
- Refactored critical services for a serverless approach
- Created a scalable data lake pipeline and BI portal using AWS-managed services
- Enhanced platform availability with a multi-account AWS setup and automated deployments
- Automated Operations: Streamlined operational workflows, reducing manual effort and operational costs
- Improved Performance: Optimized data processing and reduced latency, enhancing the overall user experience
- Advanced Analytics: Provided actionable insights through enhanced data visualization and analytics capabilities, aiding better decision-making
- Increased Scalability: Enabled seamless scaling of the platform to accommodate a growing user base and large datasets
- Simplified Integration: Facilitated easy integration with third-party applications and services, increasing the platform’s functionality
Visit the GreenM website to learn more →
