Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

This article discusses how healthcare providers can improve patient care and experience by building a comprehensive 360-degree view of patients using a zero-ETL approach on AWS. It combines data from AWS HealthLake, Amazon Aurora MySQL, and streaming data from wearable devices to provide a holistic view of each patient's medical history, allergies, appointments, and activity levels.

Specifically, the article covers:

• Overview of the solution architecture using AWS services like HealthLake, Redshift, Kinesis Data Streams, and Lake Formation
• Querying AWS HealthLake data using Redshift Serverless and creating materialized views
• Setting up zero-ETL integration between Amazon Aurora MySQL and Redshift Serverless
• Ingesting streaming data from wearable devices into Redshift using Kinesis Data Streams
• Combining data from different sources to create a complete patient 360 view
• Conclusion highlighting the benefits of this approach for healthcare providers