METHODS AND SYSTEMS TO IMPROVE A QUALITY OF DATA EMPLOYED BY A HEALTHCARE ANALYTICS SYSTEM

• US 20150149235A1
• Filed: 11/27/2013
• Published: 05/28/2015
• Est. Priority Date: 11/27/2013
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Leung, George William
• Application Number:
  US14/092,628
• Publication Number:
  US 20150149235A1
• Time in Patent Office: Days
• US Class Current: 705/7.27
• CPC Class Codes: G06Q 10/0633 Workflow analysis
• CPC Class Codes: G06Q 10/06395 Quality analysis or management
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

An example method disclosed herein includes receiving a data submission in a healthcare analytics system. The healthcare analytics system is to generate an analytic solution based on the data submission. The example method also includes determining, by the healthcare analytics system, an opportunity to improve a quality of data to be employed by the healthcare analytics system to generate the analytic solution based on a trend of previously received data submissions and the data submission. The example method further includes generating an alert including a recommended change to at least one of a characteristic of the data submission or a portion of a workflow of the healthcare analytics system based on the opportunity.

Claims

1. A method, comprising:

receiving a data submission in a healthcare analytics system, the healthcare analytics system to generate an analytic solution based on the data submission;

determining, by the healthcare analytics system, an opportunity to improve a quality of data to be employed by the healthcare analytics system to generate the analytic solution based on a trend of previously received data submissions and the data submission; and

generating an alert including a recommended change to at least one of a characteristic of the data submission or a portion of a workflow of the healthcare analytics system based on the opportunity.

2. The method of claim 1 further comprising generating the trend of the previously received data submissions.

3. The method of claim 2 wherein generating the trend comprises determining which one of a plurality of characteristics of the previously received data submissions is to be trended.

4. The method of claim 3, wherein determining which one of the plurality of characteristics is to be trended comprises determining variations between previously rejected data submissions and data submissions previously used to generate the analytic solution.

5. The method of claim 2, wherein determining the opportunity to improve the quality of the data to be received comprises determining a variation between the data submission and the trend.

6. The method of claim 5, wherein determining the opportunity to improve the quality of the data to be received further comprises determining if the variation exceeds a threshold variation.

7. The method of claim 1 further comprising:

determining an error in the analytic solution; and

determining if the error is caused by the characteristic of the data submission or the portion of the workflow.

8. The method of claim 1, wherein determining the opportunity to improve the quality of the data comprises determining if a portion of the data submission is at least one of rejected, unused or formatted by the healthcare analytics system.

9. A method, comprising:

monitoring data submissions received by a healthcare analytics system, the healthcare analytics system to generate an analytic solution based on the data submissions;

determining a trend of the data submissions;

receiving a data submission via the healthcare analytics system;

comparing the data submission to the trend; and

generating an alert if the data submission deviates from the trend in a predetermined way, the alert including a recommended change to a characteristic of subsequent data submissions.

10. The method of claim 9, wherein generating the alert comprises logging a deviation between the data submission and the trend.

11. The method of claim 9, wherein the predetermined way comprises a deviation in at least one of format, style, or content.

12. The method of claim 9 further comprising determining a source of variability of the data submission based on the data submissions and the trend.

13. The method of claim 12, wherein the source of variability comprises at least one of an element of a user workflow, a user of the healthcare analytics system, a group of users of the healthcare analytics system, or a medical device in communication with the healthcare analytics system.

14. The method of claim 9 further comprising generating a model workflow for the healthcare analytics system to enable a user to preview an effect of the recommended change on the analytic solution.

15. A method, comprising:

monitoring data submissions ingested by a healthcare analytics system, the healthcare analytics system to generate an analytic solution based on the data submissions;

determining a quality indicator based on the data submissions;

generating a trend of the quality indicator of the data submissions;

receiving a data submission;

determining if the data submission deviates from the trend in a predetermined way; and

generating an alert if the data submission deviates from the trend in a predetermined way, the alert including at least one of a first recommendation to enable subsequent data submissions to substantially correspond to the trend or a second recommendation to adjust a portion of a workflow of the healthcare analytics system.

16. The method of claim 15, wherein the quality indicator is a characteristic of at least one of formatting, style, or content of the data submissions.

17. The method of claim 15, wherein determining the quality indicator comprises determining at least one of variations or consistencies between the data submissions.

18. The method of claim 15 further comprising receiving a selection of the second recommendation and resetting the trend based on the data submission.

19. The method of claim 15, wherein the first recommendation includes a recommended characteristic to be employed in subsequent data submissions to at least one of reduce, minimize or eliminate a deviation of the subsequent data submissions from the trend.

20. The method of claim 15, wherein the healthcare analytics system generates the analytic solution via a workflow, and further comprising receiving a selection of the second recommendation and adjusting the portion of the workflow.