Medical claims lead summary report generation

US10372879B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10372879-B2
Application numberUS-201514975697-A
CountryUS
Kind codeB2
Filing dateDec 21, 2015
Priority dateDec 31, 2014
Publication dateAug 6, 2019
Grant dateAug 6, 2019

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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

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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 data sources that were used to identify the entity or the suspected fraud by determining two or more sources from among a plurality of sources; applying two or more weight values, respectively, to each of the two or more sources; based on two or more of the weight values, determining whether each of the two or more sources is at or above a threshold; accessing a pre-defined subset corresponding to each of the two or more of the sources that satisfies the threshold; determining a plurality of data display elements based on the pre-defined subset, 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 whether each of the weighted plurality of data display elements is at or above at least one threshold; combining the obtained pre-defined subsets to form a subset of the plurality of data display elements, 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 obtained specific health care claims data; wherein the method is performed by 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, and wherein the subset comprises a particular subset that is pre-defined for the particular source. 9. The method of claim 1 , wherein the subset comprises a combination of a particular subset that is pre-defined for each of the two or more sources. 10. A computer 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 data sources that were used to identify the entity or the suspected fraud by determining two or more sources from among a plurality of sources; applying two or more weight values, respectively, to each of the two or more sources; based on two or more of the weight values, determining whether each of the two or more sources is at or above a threshold; accessing a pre-defined subset corresponding to each of the two or more of the sources that satisfies the threshold; determining a plurality of data display elements based on the pre-defined subset, 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 whether each of the weighted plurality of data display elements is at or above at least one threshold; combining the obtained pre-defined subsets to form a subset of a plurality of data display elements, 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 obtained specific health care claims data. 11. The system of claim 10 , further comprising a user interface component, at least partially implemented by computing hardware, comprising one or more sequences of instructions which when executed by one or more processors are programmed to automatically provide the lead summary report to facilitate assessment of the suspected fraud by a user. 12. The system of claim 10 , wherein the plurality of data display elements comprise widgets, the report template comprises a web page template, and each of the one or more sources comprises a programmed fraud detection model or scheme. 13. The system of claim 10 , wherein the user interface component is programmed to receive an input comprising an identifier of the entity suspected of fraud. 14. The system of claim 10 , wherein the report generator component is programmed to determine which one or more sources by determining a particular source from among a plurality of sources, and wherein the subset comprises a subset pre-defined for the particular source. 15. The system of claim 10 , wherein the subset comprises a combination of a subset pre-defined for each of the two or more sources. 16. The system of claim 10 , 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. 17. The system of claim 10 , 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. 18. The system of claim 10 , 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 respo

Assignees

Inventors

Classifications

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

  • Certifying business or products · CPC title

  • G06F19/328Primary

    Physics · mapped topic

  • G06Q10/10Primary

    Office automation; Time management · CPC title

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

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What does patent US10372879B2 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 G06F19/328. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 06 2019 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).