Electronic linkage of associated data within the electronic medical record

• US 8,856,188 B2
• Filed: 03/05/2010
• Issued: 10/07/2014
• Est. Priority Date: 03/13/2009
• Status: Active Grant

• Current Assignee: Bruce Reiner
• Original Assignee: Bruce Reiner
• Inventors: Reiner, Bruce
• Primary Examiner(s): DANG, THANH HA T
• Application Number:
  US12/659,363
• Publication Number:
  US 20100235330A1
• Time in Patent Office: 1,677 Days
• Field of Search: 707/705, 707/802, 707/690, 707/791, 707/812
• US Class Current: 707/802
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records

Abstract

The present invention provides a mechanism to define an association between different data elements from disparate sources of data and databases, and different database elements, and track that association over time. This mechanism track multiples related data elements throughout the continuum of an individual patient'"'"'s medical record and identifies consistent data relationships across large patient populations.

Claims

1. A computer-implemented method of defining an association between different data elements from disparate sources of data, comprising:

receiving, and storing in a database, an input from a user linking a plurality of different data elements from disparate data sources;

receiving a further input from the user on specific association relationships between said plurality of different data elements, and on a comparative statistical strength of each of said specific association relationships, and storing said further input in said database;

wherein said comparative statistical strength includes a degree of relationship of each of said specific association relationships between said plurality of different data elements, said degree of relationship of each said specific association relationships between said plurality of different data elements being chosen from the following options;

a possible relationship, a likelihood of a relationship, and a definite relationship;

receiving a still further input from the user on how said plurality of different data elements are associated, and storing said still further input in said database;

wherein said still further input from the user on how said plurality of different data elements are associated includes at least one of the following options;

a cause and effect relationship, essentially equivalent, or definitely different,

wherein said input, said further input, and said still further input are carried out through an input device including at least one of an electronic stylus, a computer mouse, or a keyboard;

analyzing, using a processor, said plurality of different data elements and said specific association relationships with respect to clinical data on a patient inputted into said database, to further define said specific association relationships; and

validating said specific association relationships based on said analysis of said plurality of different data elements with respect to said clinical data, and on a clinical diagnosis of a patient.

2. The method according to claim 1, further comprising:

creating, and storing in said database, automated specific association relationships with said plurality of different data elements.

3. The method according to claim 1, wherein said specific association relationships include at least one of an equivalence, a temporal association, an approximation, a causation, and a lack of relationship.

4. The method according to claim 3, further comprising:

automatically adding new specific association relationships to said database when said new specific association relationships are identified by the user.

5. The method according to claim 4, further comprising:

automatically generating a query to said database to identify any other previously defined specific association relationships related to said different data elements being linked.

6. The method according to claim 5, further comprising:

modifying, and storing in said database, any said previously defined specific association relationships to include any new data on at least said specific association relationships or said different data elements.

7. The method according to claim 6, further comprising:

creating, and storing in said database, a user context-specific association profile to prioritize said different data elements from said disparate data sources, and prioritize said specific association relationships.

8. The method according to claim 7, wherein said specific association relationships are displayed differently for each said user based on occupational and experiential differences.

9. The method according to claim 7, further comprising:

creating, and storing in said database, computer-program derived specific association relationships.

10. The method according to claim 9, wherein said specific association relationships are recorded in multiple databases in multiple facilities, and can be cross-referenced.

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

providing a feedback mechanism to users when conflicting specific association relationships are recorded in said database;

recording differing specific association relationships by different users in said database; and

displaying said differing specific association relationships to users, on a display.

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

providing an automated alert to users and authors, using a predetermined communication protocol, such that said users and authors can amend their specific association relationships in light of said conflicting specific association relationships.

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

storing in said database, said clinical data on a patient; and

cross-referencing said stored different data elements to further delineate said specific association relationships.

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

displaying on a display, said clinical diagnosis of the patient;

reviewing and analyzing discrepancies in said conflicting specific association relationships, for accuracy; and

storing in said database, a quantitative measure of diagnostic accuracy which reflects any of said discrepancies.

15. The method according to claim 14, wherein a result of said cross-reference of said different data elements and said clinical diagnosis of the patient, results in a validation of said specific association relationships.

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

conducting a retrospective and/or prospective review and analysis of said database.

17. The method according to claim 16, further comprising:

developing context and user-specific medical educational programs using said database.

18. The method according to claim 17, further comprising:

searching a patients electronic medical record for unrecognized specific association relationships; and

correlating said specific association relationships with said multi-institutional databases to document specific association relationships within said electronic medical record.

19. The method according to claim 18, further comprising:

correlating generic specific association relationships derived from said database, with personalized data derived from genetic data from the patient.

20. The method according to claim 19, further comprising:

providing a hierarchical differential diagnosis of the patient based upon said correlation.

21. The method according to claim 10, wherein said different data elements include at least one of:

different data elements defining said specific association relationships, said disparate data sources of said different data elements, types of specific association relationships, statistical strengths of said specific association relationships, authors of said specific association relationships, date and time of recordation of said different data elements in said database, degree of database occurrence of said different data elements, previously defined specific association relationships, and a response to said computer program-derived specific association relationships.

22. A computer system which defines an association between different data elements from disparate sources of data, comprising:

at least one memory which contains at least one program which comprises the steps of;

receiving, and storing in a database, an input from a user linking a plurality of different data elements from disparate data sources;

receiving a further input from the user on specific association relationships between said plurality of different data elements, and on a comparative statistical strength of each of said specific association relationships, and storing said further input in said database;

wherein said comparative statistical strength includes a degree of relationship of each of said specific association relationships between said plurality of different data elements, said degree of relationship of each said specific association relationships between said plurality of different data elements being chosen from the following options;

a possible relationship, a likelihood of a relationship, and a definite relationship;

receiving a still further input from the user on how said plurality of different data elements are associated, and storing said still further input in said database;

wherein said still further input from the user on how said plurality of different data elements are associated includes at least one of the following options;

a cause and effect relationship, essentially equivalent, or definitely different,

wherein said input, said further input, and said still further input are carried out through an input device including at least one of an electronic stylus, a computer mouse, or a keyboard;

analyzing, using a processor, said plurality of different data elements and said specific association relationships with respect to clinical data on a patient inputted into said database, to further define said specific association relationships; and

validating said specific association relationships based on said analysis of said plurality of different data elements with respect to said clinical data, and on a clinical diagnosis of a patient; and

at least one processor which executes the program.

23. A non-transitory computer readable medium containing executable code which defines an association between different data elements from disparate sources of data, comprising:

receiving, and storing in a database, an input from a user linking a plurality of different data elements from disparate data sources;

receiving a further input from the user on specific association relationships between said plurality of different data elements, and on a comparative statistical strength of each of said specific association relationships, and storing said further input in said database;

wherein said comparative statistical strength includes a degree of relationship of each of said specific association relationships between said plurality of different data elements, said degree of relationship of each said specific association relationships between said plurality of different data elements being chosen from the following options;

a possible relationship, a likelihood of a relationship, and a definite relationship;

receiving a still further input from the user on how said plurality of different data elements are associated, and storing said still further input in said database;

wherein said still further input from the user on how said plurality of different data elements are associated includes at least one of the following options;

a cause and effect relationship, essentially equivalent, or definitely different,

wherein said input, said further input, and said still further input are carried out through an input device including at least one of an electronic stylus, a computer mouse, or a keyboard;

analyzing, using a processor, said plurality of different data elements and said specific association relationships with respect to clinical data on a patient inputted into said database, to further define said specific association relationships; and

validating said specific association relationships based on said analysis of said plurality of different data elements with respect to said clinical data, and on a clinical diagnosis of a patient.

24. A computer-implemented method of defining an association between different data elements from disparate sources of data, comprising:

receiving, and storing in a database, an input from a user linking a plurality of different data elements from disparate data sources;

receiving a further input from the user on specific association relationships between said plurality of different data elements, and on a comparative statistical strength of each of said specific association relationships, and storing said further input in said database, said specific association relationships including at least one of an equivalence, a temporal association, an approximation, a causation, and a lack of relationship;

wherein said input and said further input are carried out through an input device,

wherein said comparative statistical strength includes a degree of relationship of each of said specific association relationships between said plurality of different data elements, said degree of relationship of each said specific association relationships between said plurality of different data elements, including at least one of a possible relationship, a likelihood of a relationship, a definite relationship, and a cause and effect relationship;

analyzing, using a processor, said plurality of different data elements and said specific association relationships with respect to clinical data on a patient inputted into said database, to further define said specific association relationships;

validating said specific association relationships based on said analysis of said plurality of different data elements with respect to said clinical data, and on a clinical diagnosis of a patient;

automatically adding new specific association relationships to said database when said new specific association relationships are identified by the user;

automatically generating a query to said database to identify any other previously defined specific association relationships related to said different data elements being linked;

modifying, and storing in said database, any said previously defined specific association relationships to include any new data on at least said specific association relationships or said different data elements;

creating, and storing in said database, a user context-specific association profile to prioritize said different data elements from said disparate data sources, and prioritize said specific association relationships;

creating, and storing in said database, computer-program derived specific association relationships;

wherein said specific association relationships are recorded in multiple databases in multiple facilities, and can be cross-referenced,

the computer-implemented method further comprising;

providing a feedback mechanism to users when conflicting data on said specific association relationships is recorded in said database;

recording differing specific association relationships by different users in said database; and

displaying said differing specific association relationships to users, on a display.