System and Method for Identifying Inconsistent and/or Duplicate Data in Health Records

• US 20130046558A1
• Filed: 08/20/2012
• Published: 02/21/2013
• Est. Priority Date: 08/18/2011
• Status: Abandoned Application

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Landi, William A., Farooq, Faisal, Rahmanian, Farbod, Rao, Bharat
• Application Number:
  US13/589,400
• Publication Number:
  US 20130046558A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06F 16/27 Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A method of identifying information in electronic medical records includes receiving one or more electronic medical records extracted from at least one source. Each of the one or more electronic medical records has medical information of at least one medical patient. The method also includes analyzing, via a processor, the medical information by comparing different portions of data in the medical information. The method further includes identifying, via the processor, at least one of: (i) the different portions of data in the medical information as inconsistent data; and (ii) the different portions of the data in the medical information as duplicate data.

Claims

1. A method of identifying information in electronic medical records, the method comprising:

receiving one or more electronic medical records extracted from at least one source, each of the one or more electronic medical records having medical information of at least one medical patient;

analyzing, via a processor, the medical information by comparing different portions of data in the medical information; and

identifying, via the processor, at least one of;

(i) the different portions of data in the medical information as inconsistent data; and

(ii) the different portions of the data in the medical information as duplicate data.

2. The method of claim 1, wherein:

the analyzing further comprises comparing data that is associated with a first portion of the different portions of data to data that is associated with a second portion of the data, and

the identifying further comprises identifying at least one of;

(i) the data associated with the first and second portions of the medical data as inconsistent data; and

(ii) the data associated with the first and second portions of the medical data as duplicate data.

3. The method of claim 1, wherein:

the analyzing further comprises;

determining data in a first portion of the different portions of data as data corresponding to one or more medical concepts and determining data in a second portion of the different portions of data as data corresponding to the one or more medical concepts;

attributing a first value to the one or more medical concepts in the first portion and attributing a second value to the one or more medical concepts in the second portion;

comparing the first value to the second value, and

the identifying further comprises identifying at least one of;

(i) the first value and the second value as inconsistent data; and

(ii) the first value and the second value as duplicate data.

4. The method of claim 3, wherein the first value includes a first probability value of the one or more medical concepts occurring and the second value includes a second probability value of the one or more medical concepts occurring.

5. The method of claim 1, further comprising providing an alert responsive to the identifying of the at least one of:

(i) the different portions of data in the medical information as inconsistent data; and

(ii) the different portions of the data in the medical information as duplicate data.

6. The method of claim 1, further comprising:

storing domain-specific criteria in a domain knowledge base;

combining the domain-specific criteria with the medical information in the one or more electronic medical records; and

analyzing the medical information using the domain-specific criteria.

7. The method of claim 1, further comprising data mining the medical information from a first computerized patient record and a second computerized patient record using the domain-specific criteria in the domain knowledge base.

8. The method of claim 1, wherein the receiving further comprises receiving electronic medical records from a plurality of sources.

9. The method of claim 1, wherein the receiving further comprises receiving electronic medical records having structured data and unstructured data.

10. The method of claim 1, further comprising converting the unstructured data into structured data prior to analyzing the medical information.

11. The method of claim 10, further comprising:

accessing a database having a plurality of electronic medical records, each medical record corresponding to one of a plurality of patients; and

populating a plurality of data fields in the structured data with information corresponding to one of the plurality of patients.

12. A method of identifying data from a plurality of electronic patient data, the method comprising:

selecting at least one electronic medical patient record comprising medical data of the medical patient;

mining data from the at least one electronic medical patient record;

compiling the mined data into at least one structured patient record; and

analyzing, via a processor, the mined data to identify at least one of;

(i) inconsistent medical data from the mined data; and

(ii) duplicate medical data from the mined data.

13. The method of claim 12, wherein:

the analyzing further comprises comparing first data that is associated with a first portion of the mined data to second data that is associated with a second portion of the mined data, and

the identifying further comprises identifying at least one of;

(i) the first data and the second data as inconsistent data; and

(ii) the first data and the second data as duplicate data.

14. The method of claim 13, wherein the electronic patient record comprises unstructured medical data and the comparing further comprises comparing the first data mined from the unstructured medical data to the second data mined from the unstructured medical data.

15. The method of claim 13, wherein the electronic patient record comprises structured medical data and unstructured medical data and the comparing further comprises comparing the first data mined from the structured medical data to the second data mined from the unstructured medical data.

16. The method of claim 12, wherein:

the analyzing further comprises;

determining first data in a first portion of the mined data as corresponding to one or more medical concepts and determining second data in a second portion of the mined data as corresponding to the one or more medical concepts;

attributing a first value to at least one of (i) the first data in the first portion; and

(ii) the one or more medical concepts;

attributing a second value to at least one of (i) the second data in the second portion; and

(ii) the one or more medical concepts; and

comparing the first value to the second value to identify at least one of;

(i) the first value and the second value as inconsistent data; and

(ii) the first value and the second value as duplicate data.

17. A system for identifying information in electronic medical records, the system comprising:

a data source comprising at least one electronic patient medical record having patient medical data;

at least one extracting device configured to extract data from the patient medical data;

a structured data source configured to include at least one of (i) structured data extracted from the electronic patient medical record and (ii) unstructured data extracted from the electronic patient medical record and converted to structured data;

at least one system configured to analyze the structured data source for at least one of;

(i) inconsistent data and (ii) duplicate data; and

at least one display for outputting the results of the analysis of the structured data source.

18. The system of claim 17, wherein at least a portion of the patient medical data is unstructured.

19. The system of claim 17, further comprising a domain knowledge database.

20. A tangible computer readable medium comprising instructions for causing a computer to implement the steps of:

receiving medical information of at least one medical patient from at least one source,

analyzing the medical information by comparing different portions of data in the medical information; and

identifying at least one of;

(i) the different portions of data in the medical information as inconsistent data; and

(ii) the different portions of the data in the medical information as duplicate data.

21. The tangible computer readable medium of claim 20, wherein the receiving medical information comprises receiving one or more electronic medical records.

22. The tangible computer readable medium of claim 20, comprising further instructions for causing a computer to implement the step of selecting the medical information to be received.