The patients template includes data quality services for these attributes:
These services supplement your patient data with standardized, validated values for these essential attributes, and help ensure that you are contacting the patient at the correct address and phone number. They add any resulting validated, standardized values to each record in new enrichment-specific attributes; the original values mapped from your source datasets remain present and unchanged.
See the topics linked above for processing details and added attributes.
The patients model groups patient records as follows:
First, by trusted_id. Records with the same
trusted_id are always clustered together. Records with different
trusted_ids are never clustered together.
Records with null/empty
trusted_id are clustered based on similarity, meaning that they may be clustered with records that have a
Then, by similarity. Records with null or empty
trusted_ids are clustered based on similarities between values for these attributes:
- First name
- Middle Name
- Last name
- Date of birth
- Patient national identification number
- Postal code
- Country code
- Phone Number
- Fax number
Note: Generic descriptions, rather than specific attribute names, are listed to represent both the standard schema and the attributes added by the enrichers and other data transformations.
Updated 4 months ago