Medical claims lead summary report generation

US11030581B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11030581-B2
Application numberUS-201916457348-A
CountryUS
Kind codeB2
Filing dateJun 28, 2019
Priority dateDec 31, 2014
Publication dateJun 8, 2021
Grant dateJun 8, 2021

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

In an embodiment, a computer-implemented method comprises, in response to receiving lead data identifying an entity associated with a health care claim relating to suspected fraud, determining one or more data sources that were used to identify the entity or the suspected fraud; determining a subset of a plurality of data display elements, based on the determined one or more data sources, wherein each of the plurality of data display elements is configured to cause displaying health care claims data associated with the entity in a designated format; automatically obtaining, from a data repository, specific health care claims data associated with the entity for each of the plurality of data display elements in the subset; generating a lead summary report associated with the entity using a report template, the subset, and the obtained specific health care claims data.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer-implemented method comprising: in response to receiving lead data identifying an entity associated with a health care claim relating to suspected fraud, determining one or more sources that were used to identify the entity or the suspected fraud; determining a plurality of data display elements based on the one or more sources, wherein each of the plurality of data display elements is configured to cause displaying health care claims data associated with the entity in a designated format; applying a weight to each of the plurality of data display elements based upon historical levels of user interaction with each of the plurality of data display elements displayed within historical lead summary reports; determining a subset of the plurality of data display elements based on whether weights of each of the plurality of data display elements is at or above at least one threshold, wherein each data display element in the subset satisfies the at least one threshold; automatically obtaining, from a data repository, specific health care claims data associated with the entity for each of the plurality of data display elements in the subset; generating a lead summary report associated with the entity using a report template, the subset, and the specific health care claims data; wherein the method is performed using one or more computing devices. 2. The method of claim 1 , further comprising automatically updating the lead summary report in response to detecting a change in the specific health care claims data. 3. The method of claim 1 , further comprising: receiving input from a client computing device specifying a change to the lead summary report; responsive to the input, updating the lead summary report with the change. 4. The method of claim 3 , wherein the input comprises adding notes or comments to the lead summary report, assigning the lead summary report to a particular user for assessment, or selection of a feedback option. 5. The method of claim 1 , further comprising creating and digitally storing one or more evidentiary documents based on the lead summary report, in response to an input from a client computing device specifying to preserve the lead summary report at a certain point in time. 6. The method of claim 1 , wherein each of the one or more sources comprises a fraud detection model or scheme. 7. The method of claim 1 , wherein the determining which one or more sources comprises determining that a source is unknown and that the suspected fraud was identified by a third party computer system, and wherein the subset comprises a particular subset that is pre-defined for use when the source is unknown. 8. The method of claim 1 , wherein the determining which one or more sources comprises determining a particular source from among a plurality of sources. 9. The method of claim 1 wherein the applying the weight to the each of the plurality of data display elements is in response to determining that a total number of the plurality of data display elements exceeds a limit to a number of data display elements to be included on the lead summary report, and wherein the determining the subset of the plurality of data display elements based on whether the weights of each of the plurality of data display elements is at or above the at least one threshold comprises determining whether each of the plurality of data display elements is most relevant for accessing the entity. 10. The method of claim 1 , wherein the lead summary report comprising an overview page containing hyperlinks to specific display elements of the subset and information about sources of the one or more sources. 11. A system comprising: one or more databases including a plurality of health care claims data and a plurality of data display elements; a report generator component, at least partially implemented by computing hardware, coupled to the one or more databases and comprising one or more sequences of instructions which when executed by one or more processors are programmed to perform: in response to receiving lead data identifying an entity associated with a health care claim relating to suspected fraud, determining one or more sources that were used to identify the entity or the suspected fraud; determining a plurality of data display elements based on the one or more sources, wherein each of the plurality of data display elements is configured to cause displaying health care claims data associated with the entity in a designated format; applying a weight to each of the plurality of data display elements based upon historical levels of user interaction with each of the plurality of data display elements displayed within historical lead summary reports; determining a subset of the plurality of data display elements based on whether weights of each of the plurality of data display elements is at or above at least one threshold, wherein each data display element in the subset satisfies the at least one threshold; automatically obtaining, from a data repository, specific health care claims data associated with the entity for each of the plurality of data display elements in the subset; generating a lead summary report associated with the entity using a report template, the subset, and the specific health care claims data. 12. The system of claim 11 , wherein the report generator component is programmed to automatically update the lead summary report in response to detecting a change in the specific health care claims data. 13. The system of claim 11 , further comprising sequences of instructions which are programmed, when executed by the one or more processors, to cause: receiving input from a client computing device specifying a change to the lead summary report; responsive to the input, updating the lead summary report with the change. 14. The system of claim 13 , wherein the input comprises adding notes or comments to the lead summary report, assigning the lead summary report to a particular user for assessment, or selection of a feedback option. 15. The system of claim 11 , further comprising sequences of instructions which are programmed, when executed by the one or more processors, to cause creating and digitally storing one or more evidentiary documents based on the lead summary report, in response to an input from a client computing device specifying to preserve the lead summary report at a certain point in time. 16. The system of claim 11 , wherein each of the one or more sources comprises a fraud detection model or scheme. 17. The system of claim 11 , wherein the determining which one or more sources comprises determining that a source is unknown and that the suspected fraud was identified by a third party computer system, and wherein the subset comprises a particular subset that is pre-defined for use when the source is unknown. 18. The system of claim 11 , wherein the determining which one or more sources comprises determining a particular source from among a plurality of sources. 19. The system of claim 11 wherein the applying the weight to the each of the plurality of data display elements is in response to determining that a total number of the plurality of data display elements exceeds a limit to a number of data display elements to be included on the lead summary report, and wherein the determining the subset of the plurality of data display elements based on whether the weights of each of the plurality of data display elements is at or above the at least one threshold comprises determining whether each of

Assignees

Inventors

Classifications

  • Certifying business or products · CPC title

  • for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms · CPC title

  • G06Q10/10Primary

    Office automation; Time management · CPC title

  • ICT specially adapted for medical reports, e.g. generation or transmission thereof · CPC title

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What does patent US11030581B2 cover?
In an embodiment, a computer-implemented method comprises, in response to receiving lead data identifying an entity associated with a health care claim relating to suspected fraud, determining one or more data sources that were used to identify the entity or the suspected fraud; determining a subset of a plurality of data display elements, based on the determined one or more data sources, where…
Who is the assignee on this patent?
Palantir Technologies Inc
What technology area does this patent fall under?
Primary CPC classification G06Q10/10. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jun 08 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).