It all starts with a data warehouse
An enterprise data warehouse (EDW) forms the foundation for healthcare analytics. Most large healthcare organizations have hundreds of different technology solutions from various vendors. Without bringing all of this data into a single source of organizational truth, it is impossible to provide reliable and repeatable reporting and analysis. From the foundation of the EDW, organizations can progress to registries and reporting, population health, and clinical and financial risk modeling.
Here is a diagram representing the Health Catalyst 2.0 Platform and Application stack. Below is a description of the key components of the Late-Binding ™ Data Warehouse platform
Key Components of the Health Catalyst Late-Binding™ Data Warehouse Platform
The Health Catalyst Metadata Engine powers the generation and automated loading of Source Marts into the Health Catalyst Platform.
Data Acquisition Engine
The Data Acquisition and Storage subsystem of the Health Catalyst Platform supports the extraction of data from source systems and stores those data in the Catalyst EDW for consumption by downstream applications.
Data Bus Architecture
Catalyst’s Late-Binding™ Data Bus Architecture is Health Catalyst’s architectural model for analytics in Healthcare. The Late-Binding™ Data Bus avoids the pitfalls of early binding architectures espoused by Inmon, Kimball, and others.
Previous warehouse architectures forced early data bindings to proprietary enterprise data models that have proven to be inflexible, one-size-fits-all architectures that force data from disparate systems into models enforcing a compromised, least common denominator warehouse. The Catalyst Late-Binding™ Architecture avoids the inherent limitations of early binding models.
For more details about the Late-Binding™ Architecture, click here.