AWS Architecture for Real-time healthcare data monitoring solutions

Hospitals and clinics face important challenges in healthcare management in the absence of a mechanism to capture, analyze and present real-time data of patients(for eg: When they are going through rehab from a severe injury that required surgery) amid the pandemic. Such information is vital to improving the quality of healthcare, for optimal outcomes and real-time performance optimization. 

Employing pervasive medical devices l and their connectivity with the advanced networks or/and the Internet brought new visions for biomarkers, treatments and monitoring, wireless body area network (WBAN), and remote monitoring of patients’ health. The pervasive devices or medical sensors are connected with the specific parts of patients’ bodies, to measure the acquired medical information such as blood pressure, sugar level, heart rates, and other medical signals, and the observed medical information will be transmitted to the medical assistance or medical advisor.

We have created a generic, but highly scalable AWS-based architecture that can help in monitoring the indoor or/and remotely located patients’ health status to overcome the challenges of providing post-surgery rehab. The cloud computing architecture is an efficient and scalable solution that can play a tremendous role in healthcare systems in terms of information monitoring, acquisition, and storage. Through employing and deploying of public cloud computing technology for healthcare, the overall processing of healthcare systems is much efficient and easy to manage. 

 Features:

• Real-time experience with low latency live-streaming.
• Patient and Doctor authentication.
• The medical advisor has the ability to view recorded as well as view the real-time data for monitoring.
• Medical advisors have the ability to analyze the real-time data of each patient recovering from their respective injuries.

AWS Services Used:

• Cognito: Controls access to AWS resources.
• Chime SDK: Used to build applications for real time content(audio,video,images,etc) sharing.
• Kinesis: It provides a simple way to capture, transform, and load streaming data Amazon Kinesis Data Firehose provides a simple way to capture, transform, and load streaming data.
• AuroraDB: MySQL and PostgreSQL-compatible relational database built for the cloud. (Used in authentication because of good replicating ability)
• DynamoDB: NoSQL, document database service in the cloud for internet-scale applications that need high performance and low-latency
• Lambda: Serverless compute service that lets you run code without provisioning or managing servers, creating workload-aware cluster scaling logic, maintaining event integrations.
• S3 Bucket: Data Lake(For storing and analysis of data to make better decisions).
• API Gateway: Fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.