Data architecture translates business needs into data and system requirements and seeks to manage data and its flow through the enterprise. Data architecture describes the structure of an organization’s data assets. It includes the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data within an ecosystem. Optimized data architecture is essential to realizing the value of sensor generated data for clinical decision making.
In this toolkit, we present:
- Logical data architecture – This logical data architecture serves as a blueprint for industry best practices for the flow of sensor-generated data from data producers to data consumers
- Reference data architectures – These reference data architectures show different examples of the logical data architecture in practice
- Data flow design tool – This will allow you to map your specific data flow from the sensor to decision-maker