A robust health information ecosystem
The DXC Digital Directions series of papers provides insights into achieving new levels of innovation, productivity and investment as companies scale their digital efforts.
Read an excerpt below from the position paper, Unlock healthcare data to deliver better patient care.
A robust health information ecosystem includes community clouds and data markets that are sensitive to data privacy and key characteristics of data:
- Data inertia. As the amount of data increases, particularly data generated by citizens, that data is more difficult and more expensive to move around.
- Data gravity. More data attracts more users and hence more processing is needed. In the future, these “users” will include AI and will demand new sources of computing power that are ever closer to the data.
- Data decay. Data value can decrease over time, especially in healthcare. Data that decays rapidly must be processed quickly, often as soon as it is produced. This also requires localized compute capabilities.
- Data location. In terms of economics, processing data as close to the source as possible is cheaper. In terms of regulations, there are constraints to moving data across borders. So, in those cases, data must be processed locally, and derivatives of that data can be aggregated and sent to a more centralized location for analysis that leads to broader insights, such as population health insights. No matter where the data is located, it must be secure.
Continue reading the position paper, Unlock healthcare data to deliver better patient care.