Complexity scores for electrocardiography reading sessions

• US 20060161067A1
• Filed: 01/18/2006
• Published: 07/20/2006
• Est. Priority Date: 01/18/2005
• Status: Abandoned Application

• Current Assignee: Agfa Healthcare Corporation (Agfa-Gevaert N.V.)
• Original Assignee: Heartlab Incorporated (Agfa-Gevaert N.V.)
• Inventors: Elion, Jonathan L.
• Application Number:
  US11/335,870
• Publication Number:
  US 20060161067A1
• Time in Patent Office: Days
• US Class Current: 600/509
• CPC Class Codes: A61B 5/339 Displays specially adapted therefor
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/7445 Display arrangements, e.g. multiple display units

Abstract

A system allows for the prioritization of ECGs. This can be performed by the ECG management system and/or at the instruction of the cardiologist or other reader. In a current implementation, the system will allow for the sorting of the ECGs so that the more complex interpretations are presented first, when the cardiologist or other reader is not suffering from fatigue, saving the simpler readings for later in the session as fatigue might begins to become a factor.

Claims

1. A method for presenting electrocardiogram (ECG) data to a reader, the method comprising:

scoring ECG data from different patients based on sorting criteria;

sorting the ECG data from the different patients based on the sorting criteria; and

a reader reviewing the ECG data from the different patients in an order determined by the sorting.

2. A method as claimed in claim 1, further comprising the reader generating ECG reports for the different patients from the ECG data.

3. A method as claimed in claim 1, wherein the step of scoring the ECG data comprises comparing the ECG data from the different patients with respect to the sorting criteria.

4. A method as claimed in claim 1, wherein the sorting criteria includes a metric characterizing a complexity of ECG data.

5. A method as claimed in claim 1, wherein the sorting criteria includes a metric characterizing a number of previous ECGs that exist for each of the different patients.

6. A method as claimed in claim 1, wherein the step of scoring the ECG data comprises comparing machine-generated interpretations in the ECG data to list of diagnoses representing the sorting criteria.

7. A method as claimed in claim 6, further comprising scoring the list of diagnoses based on a relative complexity of each diagnosis.

8. A method as claimed in claim 1, wherein the sorting criteria is to review more complex ECG data first.

9. A method as claimed in claim 1, further comprising compiling the ECG data from the different patients to be read by a reader requesting a job assignment.

10. A method for presenting electrocardiogram (ECG) data to readers, the method comprising:

compiling ECG data from different patients for presentation to a reader for generation of ECG reports for the different patients;

analyzing the ECG data from the different patients and sorting the ECG data based on a sorting criteria; and

presenting the ECG data from the different patients in an order determined by the sorting.

11. A system for presenting electrocardiogram (ECG) data to a reader, the system comprising:

a host system for scoring ECG data from different patients based on sorting criteria and sorting the ECG data from the different patients based on the sorting criteria; and

a workstation enabling a reader to review the ECG data from the different patients in an order determined by the sorting.

12. A system as claimed in claim 11, further comprising the reader generating ECG reports on the workstation for the different patients from the ECG data.

13. A system as claimed in claim 11, wherein the host system scores the ECG data by comparing the ECG data from the different patients with respect to the sorting criteria.

14. A system as claimed in claim 11, wherein the sorting criteria includes a metric characterizing a complexity of ECG data which is determined by the host system.

15. A system as claimed in claim 11, wherein the sorting criteria includes a metric characterizing a number of previous ECGs that exist for each of the different patients.

16. A system as claimed in claim 11, wherein the host system scores the ECG data by comparing machine-generated interpretations in the ECG data to a list of diagnoses representing the sorting criteria.

17. A system as claimed in claim 16, further comprising scoring the list of diagnoses based on a relative complexity of each diagnosis.

18. A system as claimed in claim 11, wherein the sorting criteria is to review more complex ECG data first.

19. A system as claimed in claim 11, wherein the host system compiles the ECG data from the different patients to be read by the reader requesting a job assignment.

20. A computer software product for ECG data presentation, the product comprising a computer-readable medium in which program instructions are stored, which instructions, when read by a computer, cause the computer to score ECG data from different patients based on sorting criteria, sort the ECG data to be over-read by a reader from the different patients based on the sorting criteria, and enable the reader to review the ECG data from the different patients in an order determined by the sorting.

21. A product as claimed in claim 20, wherein the instruction further cause the computer to score the ECG data based on a complexity of ECG data.

22. A product as claimed in claim 20, wherein the instructions further cause the computer to score the ECG data based on a number of previous ECGs that exist for each of the different patients.

23. A method as claimed in claim 20, wherein the instructions further cause the computer to compare machine-generated interpretations in the ECG data to a list of diagnoses representing the sorting criteria.