Health data is often unstructured, incomplete and inconsistent with information contained in clinical notes, lab reports, insurance claims, medical images, recorded conversations, and time-series data. The correct data and analytics approach can help make the right decisions promptly as and when the changes occur. In healthcare and life sciences, data not only helps guide through these changing situations, but also is critical to how we work towards improving the overall human health.
AWS provides cloud technology to improve value-based, data-driven healthcare decision-making. It looks for ways to put new and innovative solutions in the hands of healthcare providers to make them more efficient, reduce burnout, and improve care quality. Their solutions are built around a modern healthcare data platform, supporting faster time to derive insights, with enhanced interactive query and processing performance as well as lower costs.
This session will cover various dynamics of building a modern healthcare data platform on AWS. Two of AWS’ customers will share their experience in building data pipelines and platform on AWS.
