Databases Reference
In-Depth Information
FIGURE B.59
Healthcare information factory.
found in the healthcare information factory? The answer is the local hospital or clinic pays for its own
local data warehouse. But the larger analytical data warehouse is paid for by grants and government
agencies that benefit from having a global analytical data warehouse. Given the wealth and impor-
tance of the data found in the larger analytical database, there are many organizations that will benefit
from the massive amount of diverse data found in the global analytical data warehouse.
Figure B.59
shows that different organizations pay for different aspects of the healthcare informa-
tion factory.
The age of data in the healthcare information factory
The healthcare information factory is a permanent structure. And the healthcare information factory
is a dynamic structure. It is always growing and is in a constant state of transformation. Data has its
own life cycle within the healthcare information factory. Data enters the healthcare information fac-
tory through the providers and other healthcare organizations. Data is used for immediate healthcare
needs at the provider level. Then data is transformed into an integrated form fit to enter the local data
warehouse. Data stays in the local data warehouse for as long as it is needed. Typically data stays
in the local data warehouse about five to ten years. Upon entering the local data warehouse, data is
passed to the collective common data warehouse. Upon entering the collective common data ware-
house, data stays there indefinitely.
Figure B.60
shows the typical age of data throughout the health-
care information factory.
Implementing the healthcare information factory
The healthcare information factory can be implemented with all the data life cycles and manage-
ment based on the DW 2.0 architecture, as shown in
Figure B.61
. Additional information about this
