This document discusses the concept of late binding in data warehousing and its importance for analytic agility. Late binding means delaying the binding of data to business rules and vocabularies for as long as possible. This allows data to be analyzed and related in different ways over time as needs change. The document outlines eight levels of analytic adoption in healthcare and how data binding needs evolve as organizations progress to more advanced analytics like predictive modeling and personalized medicine. It emphasizes the need for late binding approaches given the lack of comprehensive and persistent agreement on rules and vocabularies in healthcare.
9. Binding to Analytic Relations
In data warehousing, the key is to relate data, not model data
Core Data Elements
Charge code
CPT code
Date & Time
In today’s environment, about 20 data elements
represent 80-90% of analytic use cases. This will
grow over time, but right now, it’s fairly simple.
DRG code
Drug code
Employee ID
Employer ID
Encounter ID
Source data
vocabulary Z
(e.g., EMR)
Gender
ICD diagnosis code
ICD procedure code
Department ID
Facility ID
Lab code
Patient type
Patient/member ID
Payer/carrier ID
Postal code
Provider ID
Source data
vocabulary Y
(e.g., Claims)
Source data
vocabulary X
(e.g., Rx)