Leveraging AWS for Efficient Healthcare Data Management and Transformation (Full Transcript)

Speaker 1: This is a typical use case of healthcare customers. These customers deal with structured, semi-structured, and unstructured data. Healthcare providers must have the ability to ingest, store, and protect large volumes of this data, including clinical, genomics, device, financial, as well as claims data. And AWS is well-suited to this kind of data deal with a wide variety of ingestion, storage, and security services. For the last 15 years, the dedicated AWS team of healthcare professionals and industry experts have collaborated with health organizations to design and deploy solutions with a unified goal in mind. They can start using data migration service. They can also leverage Kinesis for real-time streaming and capturing that data in real time and making sure that data is available to build the data lake. After that, start building data pipeline so that that data is automatically populated to S3 data lake. Customers can leverage Glue for transformation, making that data available in a consumable format. As a continuous improvement, customers can start automating this ETL pipeline. They can orchestrate various steps in the workflow by using orchestration services and automate the deployment as well, and this helps with operational efficiency. SMB Healthcare customers can provide a trusted platform, helping unlocking the potential of healthcare data, enabling clinical and operational excellence, and activating the healthcare partner network. And customers will benefit from low-cost, better patient health information.