System and method for aggregation and analysis of information from multiple disparate sources while assuring source and record anonymity using an exchange hub

• US 8,073,950 B2
• Filed: 07/27/2006
• Issued: 12/06/2011
• Est. Priority Date: 03/16/2004
• Status: Active Grant

• Current Assignee: Grid Analytics LLC
• Original Assignee: Grid Analytics LLC
• Inventors: Goodermote, Dean, Bloom, Toby, Miller, Donald R
• Primary Examiner(s): Zele, Krista
• Assistant Examiner(s): VOSTAL, ONDREJ C
• Application Number:
  US11/493,558
• Publication Number:
  US 20070055482A1
• Time in Patent Office: 1,958 Days
• Field of Search: 709/226
• US Class Current: 709/226
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G06Q 30/04 Billing or invoicing

Abstract

The invention provides a system and method for automated data analysis in which data agents are located and operate at each member site or data source (i.e., locally). These agents access stored data at the data source or member sites, process the data and also aggregate the results. The aggregated results from each of the member sites are then forwarded to and further aggregated at a central analytic hub. The central analytic hub contains a centralized application which can further aggregate each of the aggregated results and perform a final analysis. These results are then delivered to the requester without any ability to identify individual data sources, or records from those sources.

Claims

1. A data collection method, comprising the steps of:

a requestor using an analytic engine to acquire data from a plurality of data locations controlled by different entities by routing a data request through an exchange hub;

said request requesting the exchange hub return percentages derived from a plurality of data points and responsive to certain criteria specified by the requestor;

the exchange hub;

receiving the data request from the requestor; and

forwarding the request to the plurality of data locations;

the plurality of data locations;

containing said data points, confidential information, sensitive data, and individual records;

analyzing the data points, confidential information, sensitive data, and individual records to generate the requested percentages;

continuously maintaining the data points, confidential information, sensitive data, and individual records at the data locations, but sending the requested percentages to the exchange hub, so that the exchange hub can aggregate the requested percentages from the plurality of data locations together;

but not sending individual data points or confidential information contained in those data points;

the exchange hub;

receiving the requested percentages from the plurality of data locations;

said requested percentages containing percentages from multiple data locations; and

said requested percentages containing percentages responsive to the criteria specified by the requestor; and

aggregating the requested percentages from the data locations together; and

forwarding the aggregation of the requested percentages to the requestor;

wherein individual records are not gathered for processing and storage at a central site.

2. The method of claim 1 comprising the step of directing the analytic engine to perform an analysis of relevant data in a resident data repository to produce a summary data module containing a data construct having two or more logical dimensions having a set of core cells encoding specific data points, a grand total point, a subtotal line for each pair of dimensions, and a subtotal plane for each pair of dimensions.

3. The method of claim 1 comprising the step of directing the exchange hub to:

identify the data locations needed to answer the data request;

identify which variables will need to be analyzed;

identify which bins in which to group each of the variables;

send instructions to the data locations to direct the data locations in how they collect and bin the requested data; and

send instructions to the data locations to direct the data locations in how to aggregate binned data.

4. The method of claim 1 comprising the step of directing the exchange hub to determine whether the received summary data contains enough data points to answer the request;

and if not, send a new request to other data locations to obtain additional summary data.

5. The method of claim 1 comprising the step of directing the exchange hub to transform the request into a Boolean expression for querying information about a particular drug for a specified condition in a specified area over a specified period.

6. The method of claim 1 comprising the step of directing the exchange hub to transform the request into a Boolean expression for querying information about a particular device for a specified condition in a specified area over a specified period.

7. The method of claim 1 comprising the step of directing the requestor to:

query a resident database at the requestor for resident information responsive to said request;

aggregate data received from the exchange hub with information received from the resident database to form a summary data module; and

use the summary data module to generate a report of aggregated data which is responsive to the request.

16. The method of claim 1, wherein the requested percentages contain percentages.

17. The method of claim 1, wherein the requested percentages relate to drugs or medical devices that meet the criteria specified by the requestor.

18. The method of claim 1, wherein the criteria specified by the requestor is a specified condition in a specified area over a specified period.

19. The method of claim 1, wherein the confidential information includes at least one of:

confidential patient information, physician information, hospital information, and dates of treatment.

20. The method of claim 1, wherein the data location contains hospital records.

21. The method of claim 1, wherein the individual records includes at least one of:

a release date, an exact age, and an indicator of rare medical condition.

8. A data collection system, comprising:

a requestor comprising an analytic engine containing instructions for causing the requestor to acquire data from a plurality of data locations controlled by different entities by routing a data request through an exchange hub;

said request requesting the exchange hub return percentages derived from a pluralty of data points and responsive to certain criteria specified by the requestor;

the plurality of data locations comprising;

said data points, confidential information, sensitive data, and individual records;

software for directing the data locations to analyze the data points, confidential information, sensitive data, and individual records,

software for generating the requested percentages; and

software for directing the data locations to continuously maintain the data points, confidential information, sensitive data, and individual records at the data locations, but directing the data locations to send the requested percentages to the exchange hub, so that the exchange hub can aggregate the requested percentages from the plurality of data locations together;

but not send individual data points or confidential information contained in the data points;

the exchange hub comprising software for;

directing the exchange hub to receive the requested percentages from the requestor;

said requested percentages originating from multiple data locations; and

said percentages being responsive to the criteria specified by the requestor; and

directing the exchange hub to-aggregate the requested percentages from the data locations together;

wherein the system does not gather individual records for processing and storage at a central site.

9. The system of claim 8 wherein the analytic engine contains instructions to cause the analytic engine to perform an analysis of relevant data in a resident data repository to produce a summary data module containing a data construct having two or more logical dimensions having a set of core cells encoding specific data points, a grand total point, a subtotal line for each pair of dimensions, and a subtotal plane for each pair of dimensions.

10. The system of claim 8 wherein the requestor contains a summary data module containing a data construct having two or more logical dimensions having a set of core cells encoding specific data points, a grand total point, a subtotal line for each pair of dimensions, and a subtotal plane for each pair of dimensions.

11. The system of claim 8 wherein the software in the exchange hub causes the exchange hub to:

identify the data locations needed to answer the data request;

identify which variables will need to be analyzed;

identify which bins in which to group each of the variables;

send instructions to the data locations to direct the data locations in how they collect and bin the requested data; and

send instructions to the data locations to direct the data locations in how to aggregate binned data.

12. The system of claim 8 wherein the software in the exchange hub causes the exchange hub to determine whether the received summary data contains enough data points to answer the request;

and if not, send a new request to other data locations to obtain additional summary data.

13. The system of claim 8 wherein the software in the exchange hub causes the exchange hub to transform the request into a Boolean expression for querying information about a particular drug for a specified condition in a specified area over a specified period.

14. The system of claim 8 wherein the software in the exchange hub causes the exchange hub to transform the request into a Boolean expression for querying information about a particular device for a specified condition in a specified area over a specified period.

15. The system of claim 8 wherein the analytic engine comprising instructions for causing the requestor to:

query a resident database at the requestor for resident information responsive to said request;

aggregate data received from the exchange hub with information received from the resident database to form a summary data module; and

use the summary data module to generate a report of aggregated data which is responsive to the request.

22. The method of claim 8, wherein the requested percentages contain percentages.

23. The method of claim 8, wherein the requested percentages relate to drugs or medical devices that meet the criteria specified by the requestor.

24. The method of claim 8, wherein the criteria specified by the requestor is a specified condition in a specified area over a specified period.

25. The method of claim 8, wherein the confidential information includes at least one of:

confidential patient information, physician information, hospital information, and dates of treatment.

26. The method of claim 8, wherein the data location contains hospital records.

27. The method of claim 8, wherein the individual records includes at least one of:

a release date, an exact age, and an indicator of rare medical condition.