Hierarchical association of entity records from different data systems
A system links data objects for common entities across source systems and includes at least one processor. The system compares data objects within each of a plurality of source systems to identify data objects associated with corresponding common entities. The identified data objects for each common entity within each of the plurality of source systems are linked to form a group of data objects for each common entity. The groups of data objects for each of the common entities are compared across the plurality of source systems to identify groups of data objects associated with common entities. The identified groups of data objects for common entities are linked across the plurality of source systems to form a set of data objects for each corresponding common entity. Embodiments of the present invention further include a method and computer program product for linking data objects for common entities across source systems.
1. A computer-implemented method of linking data objects for common entities across source systems comprising:
comparing, via at least one processor, data objects within each of a plurality of source systems to each other according to a first level of a hierarchy to identify on each source system data objects associated with corresponding common entities, wherein each source system stores electronic records of a plurality of different entities and at least one entity is associated with a plurality of electronic records stored on two or more different source systems, and wherein the hierarchy includes the first level indicating record level comparisons of individual electronic records of the source systems and a second level indicating group level comparisons of groups of the individual electronic records produced from comparisons of the first level;
linking, via the at least one processor, the identified data objects for each common entity within each of the plurality of source systems to form a group of data objects for each common entity on each source system for comparison according to the second level of the hierarchy, wherein the linked data objects for a group include varying information for a corresponding common entity to enable the group to provide additional information for that common entity relative to an individual data object;
comparing, via the at least one processor, the groups of data objects for each of the common entities across the plurality of source systems to each other based on a set of criteria pertaining to the additional information and according to the second level of the hierarchy to identify groups of data objects associated with common entities, wherein comparing the groups of data objects based on the hierarchy and additional information improves performance of the at least one processor by reducing comparisons and processing resolved entities to decrease numbers of incorrectly matched entities and incorrectly unmatched entities; and
linking, via the at least one processor, the identified groups of data objects for common entities from the plurality of source systems to form a set of data objects for each corresponding common entity, wherein at least one set of data objects includes two or more groups of data objects from different source systems.
2. The computer-implemented method of claim 1 , further comprising:
forming sets of data objects for corresponding common entities for each of plural series of the plurality of source systems;
comparing the sets of data objects for each of the common entities across the series to identify sets of data objects associated with common entities; and
linking the identified sets of data objects for common entities across the series to form a collection of data objects for each corresponding common entity.
3. The computer-implemented method of claim 2 , further comprising:
forming collections of data objects for corresponding common entities for each of plural clusters of a plurality of the series;
comparing the collections of data objects for each of the common entities across the clusters to identify collections of data objects associated with common entities; and
linking the identified collections of data objects for common entities across the clusters to form a resulting grouping of data objects for each corresponding common entity.
4. The computer-implemented method of claim 3 , wherein the data objects include protected information, and the method further comprises:
controlling an amount of the protected information utilized for each of the comparisons of the data objects.
5. The computer-implemented method of claim 4 , wherein the protected information is accessible based on data governance policies, and controlling an amount of the protected information further comprises:
controlling the amount of the protected information utilized for each of the comparisons of the data objects to comply with the data governance policies.
6. The computer-implemented method of claim 1 , wherein the common entities include a patient.
7. The computer-implemented method of claim 1 , further comprising:
splitting the group of data objects for a common entity into plural groups of data objects based on similarities between the data objects in the group.
8. The computer-implemented method of claim 1 , further comprising:
splitting the set of data objects for a common entity into plural sets of data objects based on similarities between the groups of data objects in the set.