Enhancing scalability and security of a remote patient monitoring system
This leading mobile medical technology company sought to revolutionize its remote patient monitoring system but faced challenges with scaling its existing infrastructure. They required a robust, scalable solution to support growth while maintaining top-tier security and performance standards in the healthcare industry.
Project summary
This customer partnered with our team to upgrade its remote patient monitoring system, which was struggling to manage and analyze growing volumes of cardiac data. The existing infrastructure could not support future growth, meet real-time processing demands, and ensure compliance with stringent healthcare regulations such as HIPAA and GDPR.
Project challenges
As the volume of cardiac data increased, the company's system began to struggle with maintaining security and efficiency in real-time data management and processing. If left unresolved, these challenges could have led to significant risks such as compromised patient data security, delays in clinical decision-making, and non-compliance with regulatory requirements.
Our process
By leveraging industry-leading cloud technologies and following a structured, collaborative approach, we helped this leading mobile medical technology company transform its infrastructure to meet current demands while preparing for future growth.
Our solution
We enhanced and restructured their architecture with a focus on building a robust, scalable, and secure environment capable of handling large volumes of cardiac data while maintaining compliance with stringent healthcare regulations.
The solution enhanced the compute layer with Amazon EC2 instances managed by Auto Scaling Groups, ensuring dynamic scaling based on traffic demand. An Elastic Load Balancer (ELB) was also integrated to distribute incoming traffic across multiple instances, maintaining high availability and reliability even if some instances became unhealthy.
The solution leverages Amazon S3 for secure, scalable storage of patient cardiac data with cross-region replication, Amazon RDS for reliable data management with automated backups, read replicas, and multi-AZ deployments, and Amazon ElastiCache to reduce latency by caching frequently accessed data, thus improving response times.
We used AWS Lambda for their solution infrastructure, enabling serverless data processing for tasks like ingestion, transformation, analytics, etc, and facilitating automatic scaling as needed. Additionally, we used Amazon SageMaker to provide predictive insights and personalized care recommendations through machine learning models.
The solution prioritized security and compliance with HIPAA and GDPR by implementing AWS Key Management Service (KMS) for end-to-end encryption and AWS Identity and Access Management (IAM) for granular access control. Additionally, AWS CloudTrail and an SIEM system were integrated to monitor, detect, and respond promptly to security incidents.
" I was impressed by Applify’s smart teammates who understood us and communicated well. "
Final result
The enhanced system architecture significantly improved scalability, security, and performance, enabling efficient handling of increased data volumes and varying traffic loads. With real-time data processing, advanced analytics, and comprehensive security measures, the system now ensures better patient care while maintaining compliance with HIPAA and GDPR.
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