Data for a given real-world entity can be fragmented across multiple data sources, making it difficult to obtain an accurate and complete representation of that entity within the system. To create and maintain master data about an entity, the system must identify these fragments and assign a unique identity that can be used system-wide to refer to a single real-world entity. Entity Resolution is a technique for identifying data records in a single or across multiple data sources that refer to the same real-world entity and linking them together.Documentation Index
Fetch the complete documentation index at: https://docs.clinia.com/llms.txt
Use this file to discover all available pages before exploring further.
How does it work?
In the Clinia platform, entity resolution is driven by resource collections and their corresponding comparison rules. These resource collections are established at the MDM level and serve to consolidate data source profiles into a unified resource type.

How are records resolved?
To identify when similar source records are created within or across different data sources, the system uses comparison rules to compare records against one another effectively. Resolution Rules define:- Resolution Properties used for comparison and their mappings to the source profiles;
- Matchers define the parameters of individual property comparison and;
- Resolvers determine the outcome of the entire comparison process based on the individual property comparison outcome.
ConfigurabilityUsers configure resolution rules based on their business logic, adapting and optimizing for their data.