Scaling healthcare data is not just about managing the size of your storage repository. To build, manage and maintain data architecture for everyday use requires a systematic approach that accounts for all three dimensions of scale: volume, velocity, and complexity.
In this video James Agnew, CTO and Co-Founder of Smile Digital Health shares how Smile designs architecture to support healthcare data at a Planetary Scale.
In this session, learn:
How to design for the three dimensions of scale: data volume, query velocity, and system complexity
What the “mixed data reality” means for modern healthcare systems, including structured and unstructured data
The four-pillar strategy guiding scalable architecture: grow bigger, tread lightly, run faster, and store everything
To operationalizing Clinical Intelligence at Scale
Modern healthcare systems are moving beyond static data storage needs towards platforms that enable computation, insight,and real-time access at scale. It’s an exciting time to be in health-tech, because today we are building data that comes alive and we can do more than has ever been possible.