Hierarchical association of entity records from different data systems

• US 10,331,703 B2
• Filed: 10/28/2015
• Issued: 06/25/2019
• Est. Priority Date: 10/28/2015
• Status: Active Grant

• Current Assignee: Merative US LP
• Original Assignee: International Business Machines Corporation
• Inventors: Meil, Douglas S., Miller, Jacob O., Pohlman, Matthew M., Shields, Robert W.
• Primary Examiner(s): Lewis, Cheryl
• Application Number:
  US14/924,858
• Publication Number:
  US 20170124216A1
• Time in Patent Office: 1,336 Days
• CPC Class Codes: G06F 16/258 Data format conversion from or to a database
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

Abstract

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.

Claims

1. A system for linking data objects for common entities across source systems comprising:

at least one processor to compare the data objects according to levels of a hierarchy, wherein the hierarchy includes a 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, and wherein the at least one processor is configured to;

compare data objects within each of a plurality of source systems to each other according to the first level of the 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;

link 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;

compare the groups of data objects for each of the common entities from 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

link 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 system of claim 1, wherein the at least one processor is further configured to:

form sets of data objects for corresponding common entities for each of plural series of the plurality of source systems;

compare 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

link 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 system of claim 2, wherein the at least one processor is further configured to:

form collections of data objects for corresponding common entities for each of plural clusters of a plurality of the series;

compare 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

link 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 system of claim 1, wherein the common entities include a patient.

5. The system of claim 3, wherein the data objects include protected information, and the at least one processor is further configured to:

control an amount of the protected information utilized for each of the comparisons of the data objects.

6. The system of claim 5, 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.

7. The system of claim 1, wherein the at least one processor is further configured to:

split 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 system of claim 1, wherein the at least one processor is further configured to:

split 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.

9. A computer program product for linking data objects for common entities across source systems, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by at least one processor to cause the at least one processor to:

compare 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;

link 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;

compare the groups of data objects for each of the common entities from 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

link 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.

10. The computer program product of claim 9, wherein the at least one processor is further caused to:

form sets of data objects for corresponding common entities for each of plural series of the plurality of source systems;

compare 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

link the identified sets of data objects for common entities across the series to form a collection of data objects for each corresponding common entity.

11. The computer program product of claim 10, wherein the at least one processor is further caused to:

form collections of data objects for corresponding common entities for each of plural clusters of a plurality of the series;

compare 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

link 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.

12. The computer program product of claim 11, wherein the data objects include protected information, and the at least one processor is further caused to:

control an amount of the protected information utilized for each of the comparisons of the data objects.

13. The computer program product of claim 12, 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.

14. The computer program product of claim 9, wherein the common entities include a patient.

15. The computer program product of claim 9, wherein the at least one processor is further caused to:

split 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.

16. The computer program product of claim 9, wherein the at least one processor is further caused to:

split 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.