Automated information discovery and traceability for evidence generation

• US 8,832,095 B2
• Filed: 08/24/2011
• Issued: 09/09/2014
• Est. Priority Date: 08/24/2011
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bhagwan, Varun, Grandison, Tyrone W. A., Gruhl, Daniel Frederick, Razo, Jonathan Rogelio
• Primary Examiner(s): Uddin, Mohammed R
• Application Number:
  US13/216,915
• Publication Number:
  US 20130054625A1
• Time in Patent Office: 1,112 Days
• Field of Search: 707/763, 707/756, 707/726, 707/999.006
• US Class Current: 707/726
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 70/00 ICT specially adapted for the handling or processing of medical references

Abstract

Described herein are methods, systems, apparatuses and products for automated information discovery and traceability for evidence generation. An aspect provides for accessing a mapping of a plurality of connected nodes stored in a memory device, said mapping being discovered via a network scan based on a seed set, said plurality of connected nodes storing a plurality of archived healthcare records; accessing content stored in a memory device and ingested from said plurality of connected nodes; and determining a longitudinal healthcare record from the mapping and the content ingested from said plurality of connected nodes. Other embodiments are disclosed.

Claims

1. A computer program product comprising:

a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising;

computer readable program code configured to access a mapping of a plurality of connected nodes discovered via a network scan based on a seed set, said plurality of connected nodes storing a plurality of archived healthcare records, the seed set comprising an initial mapped set of nodes;

computer readable program code configured to access content ingested from said plurality of connected nodes; and

computer readable program code configured to determine a longitudinal healthcare record from the mapping and the content ingested from said plurality of connected nodes;

wherein to determine a longitudinal healthcare record comprises determining provenance of at least one healthcare record; and

wherein to determine provenance comprises;

probing or scanning nodes in said plurality of connected nodes for at least one archived healthcare record of a patient,

determining connectivity of the probed or scanned nodes, and adding to the seed set a mapping of the connectivity of the probed or scanned nodes;

ascertain if an archived healthcare record for said patient has propagated to a next node in the plurality of connected nodes;

wherein to determine provenance comprises mapping backup or mirror nodes.

2. The computer program product according to claim 1, wherein said computer readable program code configured to determine a longitudinal healthcare record further comprises:

computer readable program code configured to identify a source node in said plurality of connected nodes for a particular archived healthcare record.

3. The computer program product according to claim 2, wherein said computer readable program code configured to determine a longitudinal healthcare record further comprises:

computer readable program code configured to, for said particular archived healthcare record, map at least one upstream record at an upstream node in said plurality of connected nodes supporting said particular archived healthcare record.

4. The computer program product according to claim 3, wherein the particular archived healthcare record comprises one or more of:

an exact copy of said upstream healthcare record, a transformed version of the upstream healthcare record, or a subset of data contained in said upstream healthcare record.

5. The computer program product according to claim 3, wherein said computer readable program code configured to determine a longitudinal healthcare record further comprises:

computer readable program code configured to access a graph comprising data flow connecting a plurality of related, archived healthcare records constructed from said mapping of a plurality of connected nodes.

6. The computer program product according to claim 5, wherein said longitudinal healthcare record comprises a representation through time of data available from said plurality of related, archived healthcare records for a patient.

7. The computer program product according to claim 1, further comprising computer readable program code configured to map at least one modality to at least one of said plurality of connected nodes.

8. The computer program product according to claim 7, further comprising computer readable program code configured to probe at least one node in said plurality of connected nodes for a specific data-type based on at least one modality of said at least one node.

9. A method comprising:

accessing a mapping of a plurality of connected nodes stored in a memory device,

said mapping being discovered via a network scan based on a seed set, said plurality of connected nodes storing a plurality of archived healthcare records, the seed set comprising an initial mapped set of nodes;

accessing content stored in a memory device and ingested from said plurality of connected nodes; and

determining a longitudinal healthcare record from the mapping and the content ingested from said plurality of connected nodes;

wherein said determining of a longitudinal healthcare record comprises determining provenance of at least one healthcare record; and

wherein said determining of provenance comprises;

probing or scanning nodes in said plurality of connected nodes for at least one archived healthcare record of a patient, determining connectivity of the probed or scanned nodes, and adding to the seed set a mapping of the connectivity of the probed or scanned nodes;

ascertaining if an archived healthcare record for said patient has propagated to a next node in the plurality of connected nodes based on said mapping of a plurality of connected nodes;

wherein to determine provenance comprises mapping backup or mirror nodes.

10. The method according to claim 9, further comprising:

identifying a source node in said plurality of connected nodes for a particular archived healthcare record.

11. The method according to claim 10, further comprising:

for said particular archived healthcare record, mapping at least one upstream record at an upstream node in said plurality of connected nodes supporting said particular archived healthcare record.

12. The method according to claim 11, wherein the particular archived healthcare record comprises one or more of:

an exact copy of said upstream healthcare record, a transformed version of the upstream healthcare record, or a subset of data contained in said upstream healthcare record.

13. The method according to claim 11, further comprising:

accessing a graph comprising data flow connecting a plurality of related, archived healthcare records constructed from said mapping of a plurality of connected nodes.

14. The method according to claim 13, wherein said longitudinal healthcare record comprises a representation through time of data available from said plurality of related, archived healthcare records for a patient.

15. The method according to claim 9, further comprising:

mapping at least one modality to at least one of said plurality of connected nodes; and

probing at least one node in said plurality of connected nodes for a specific data-type based on at least one modality of said at least one node.

16. A system comprising:

at least one processor; and

a memory device operatively connected to the at least one processor;

wherein, responsive to execution of program instructions accessible to the at least one processor, the at least one processor is configured to;

access a mapping of a plurality of connected nodes, said mapping being discovered via a network scan based on a seed set, said plurality of connected nodes storing a plurality of archived healthcare records, the seed set comprising an initial mapped set of nodes;

access content and ingested from said plurality of connected nodes; and

determine a longitudinal healthcare record from the mapping and the content ingested from said plurality of connected nodes;

wherein to determine a longitudinal healthcare record comprises determining provenance of at least one healthcare record; and

wherein to determine provenance comprises;

probing or scanning nodes in said plurality of connected nodes for at least one archived healthcare record of a patient, determining connectivity of the probed or scanned nodes, and adding to the seed set a mapping of the connectivity of the probed or scanned nodes;

ascertaining if an archived healthcare record for said patient has propagated to a next node in the plurality of connected nodes based on said mapping of a plurality of connected nodes;

wherein to determine provenance comprises mapping backup or mirror nodes.