Part Number: E26521-01
Welcome to the Oracle® Healthcare Analytics Data Integration 1.0 Release Content Document.
This Release Content Document (RCD) communicates information about Oracle® Healthcare Analytics Data Integration (OHADI). It is a new product, which provides a solution that addresses the multiple challenges involved in the integration of data from disparate sources. It facilitates the loading of heterogeneous data into a set of standard, source system-agnostic data structures and then manage that data proactively. It's major components include:
System of Record Proxy (Interface Tables)
Rules Framework and Engine
Exception Management Framework
Master Data Management
Meta Data Management
Business rules framework using ODI
Out of the box business rules
OHADI is a means by which clinical, financial, administrative, and research data from the Providers' source systems can be validated, consolidated, integrated, cleansed, and loaded into the EHA HDWF-based enterprise data warehouse. In combination with the HDWF data warehouse, OHADI provides a productized solution that addresses the multiple challenges involved in the integration of data from disparate sources. The goal of data integration is to facilitate the loading of heterogeneous data into a set of standard, source system-agnostic data structures and then manage that data proactively:
The System provides a system of record proxy (SORP) for all systems that populate EHA. That is, it retains all data as received from the source system in the form in which is was received.
Business rules in data integration and warehousing cover the entire gamut of data and metadata that is stored and used in these systems and data management processes. At a high level, these rules can be categorized into the following categories:
OHADI provides a flexible, extensible and unified data model to hold the master data and all needed attributes. It accounts for the varied uses of master and reference data from the interface tables to HDWF to data marts/cubes/analytical applications. This model supports a full and robust set of data management features and a user experience for collaboration that maximizes adoption. It includes a data quality function that can find and eliminate duplicate data while insuring correct data attribute survivorship (via business rules) to create a “single source of truth”.
OHADI supports the following categories of metadata:
OHADI also provides the appropriate system columns that allow for end-to-end metadata management even if the customer does not have a dedicated and stand-alone metadata management system.
OHADI provides data lineage via ODI funcitonality, system columns, and via out of the box mappings across all Oracle EHA products in addition to more advanced features that may be available from ODI 11g, ODI Metadata Navigator, Informatica Metadata Manager, and the like.
OHADI includes out of the box rules which are configurable and ready to use by the customer. It includes rules that leverage master seed values, seeded terminologies, and pre-defined mappings (from a terminology vendor like Apelon or HLI) or a Terminology Management System (such as ETS Lite or similar). OHADI preserves the customer's modifications to the out of the box rules and will not overwrite them during product upgrades.
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The Oracle Healthcare Analytics Data Integration 1.0 Integrated Documentation Package:
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