-
公开(公告)号:US20160188819A1
公开(公告)日:2016-06-30
申请号:US14975697
申请日:2015-12-21
Applicant: Palantir Technologies, Inc.
Inventor: GOKUL SUBRAMANIAN , Rahul AGARWAL , William Seaton , Diane Wu
CPC classification number: G06F19/328 , G06Q30/018 , G16H15/00
Abstract: 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.
Abstract translation: 在一个实施例中,计算机实现的方法包括响应于接收到标识与涉嫌涉嫌欺诈的医疗保健声明相关联的实体的线索数据,确定用于识别实体或可疑欺诈的一个或多个数据源; 基于所确定的一个或多个数据源来确定多个数据显示元素的子集,其中所述多个数据显示元素中的每一个被配置为导致以指定格式显示与所述实体相关联的医疗保健理赔数据; 从所述数据存储库自动获得与所述子集中的所述多个数据显示元素中的每一个相关联的与所述实体相关联的特定医疗保健声明数据; 使用报告模板,子集和获得的特定医疗保健索赔数据生成与实体相关联的牵头摘要报告。
-
公开(公告)号:US09734217B2
公开(公告)日:2017-08-15
申请号:US14306138
申请日:2014-06-16
Applicant: PALANTIR TECHNOLOGIES INC.
Inventor: Feridun Arda Kara , Eli Bingham , John Garrod , Daniel Erenrich , Anirvan Mukherjee , Ted Mabrey , Andrew Ash , Zachary Bush , Allen Cai , Winnie Chai , Greg Cohan , Chris Dorsey , William Dwyer , Gilad Gray , Sean Kelley , Dennis Kwon , Chris Lewis , Greg Martin , Parvathy Menon , Brian Ngo , Asli Ozyar , Mike Reilly , Jacob Scott , Ankit Shankar , Matt Sills , Spencer Stamats , Geoff Stowe , Samir Talwar , Engin Ural , P J Valez , Holt Wilkins , Diane Wu , Drausin Wulsin , Di Wu , Joyce Yu-Hsin Chen , Bar Kaya
CPC classification number: G06F17/30554 , G06F17/30572 , G06F17/30598 , G06Q10/0639
Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes receiving a request with one or more filter selections and accessing a data structure comprising a plurality of categories of information showing interactions associated with multiple entities. The method also comprises identifying a set of categories of the plurality of categories within the data structure based on the one or more filter selections. The method further comprises processing the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections and providing the processed information to display the performance of the one or more entities on a user interface.
-
公开(公告)号:US20190326010A1
公开(公告)日:2019-10-24
申请号:US16457348
申请日:2019-06-28
Applicant: Palantir Technologies Inc.
Inventor: Gokul Subramanian , Rahul Agarwal , William Seaton , Diane Wu
Abstract: 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.
-
公开(公告)号:US10372879B2
公开(公告)日:2019-08-06
申请号:US14975697
申请日:2015-12-21
Applicant: Palantir Technologies, Inc.
Inventor: Gokul Subramanian , Rahul Agarwal , William Seaton , Diane Wu
Abstract: 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.
-
公开(公告)号:US12056718B2
公开(公告)日:2024-08-06
申请号:US16850961
申请日:2020-04-16
Applicant: Palantir Technologies Inc.
Inventor: Rahul Agarwal , Diane Wu
IPC: G06Q30/018 , G06N20/00 , G16H10/60
CPC classification number: G06Q30/0185 , G06N20/00 , G16H10/60
Abstract: Systems and methods are described for automatically processing data stored in one or more databases using machine learning to detect entities (such as health care providers, health care plan members, patients, pharmacies, and so forth) associated with health care claims that are suspected of fraudulent, wasteful, and/or abusive activity. The techniques may further or alternatively involve generating and presenting, for a set of suspected entities, natural language explanatory information explaining how and/or why each of the respective suspected entities is considered to be suspected of fraudulent, wasteful, and/or abusive activity. Feedback provided by fraud analysts and/or other subject matter experts in the misuse detection space is used to facilitate misuse detection and misuse detection presentation.
-
公开(公告)号:US11030581B2
公开(公告)日:2021-06-08
申请号:US16457348
申请日:2019-06-28
Applicant: Palantir Technologies Inc.
Inventor: Gokul Subramanian , Rahul Agarwal , William Seaton , Diane Wu
Abstract: 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.
-
公开(公告)号:US10025834B2
公开(公告)日:2018-07-17
申请号:US14306147
申请日:2014-06-16
Applicant: PALANTIR TECHNOLOGIES INC.
Inventor: Feridun Arda Kara , Eli Bingham , John Garrod , Daniel Erenrich , Anirvan Mukherjee , Ted Mabrey , Andrew Ash , Zachary Bush , Allen Cai , Winnie Chai , Greg Cohan , Chris Dorsey , William Dwyer , Gilad Gray , Sean Kelley , Dennis Kwon , Chris Lewis , Greg Martin , Parvathy Menon , Brian Ngo , Asli Ozyar , Mike Reilly , Jacob Scott , Ankit Shankar , Matt Sills , Spencer Stamats , Geoff Stowe , Samir Talwar , Engin Ural , Patricio Jones Velez , Holt Wilkins , Diane Wu , Drausin Wulsin , Di Wu , Yu-Hsin Joyce Chen , Baris Kaya
CPC classification number: G06F16/248 , G06F16/26 , G06F16/285 , G06Q10/0639
Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.
-
公开(公告)号:US20200242626A1
公开(公告)日:2020-07-30
申请号:US16850961
申请日:2020-04-16
Applicant: Palantir Technologies Inc.
Inventor: Rahul Agarwal , Diane Wu
Abstract: Systems and methods are described for automatically processing data stored in one or more databases using machine learning to detect entities (such as health care providers, health care plan members, patients, pharmacies, and so forth) associated with health care claims that are suspected of fraudulent, wasteful, and/or abusive activity. The techniques may further or alternatively involve generating and presenting, for a set of suspected entities, natural language explanatory information explaining how and/or why each of the respective suspected entities is considered to be suspected of fraudulent, wasteful, and/or abusive activity. Feedback provided by fraud analysts and/or other subject matter experts in the misuse detection space is used to facilitate misuse detection and misuse detection presentation.
-
公开(公告)号:US20180322175A1
公开(公告)日:2018-11-08
申请号:US16023251
申请日:2018-06-29
Applicant: Palantir Technologies Inc.
Inventor: Feridun Arda Kara , Eli Bingham , John Garrod , Daniel Erenrich , Anirvan Mukherjee , Ted Mabrey , Andrew Ash , Zachary Bush , Allen Cai , Winnie Chai , Greg Cohan , Chris Dorsey , William Dwyer , Gilad Gray , Sean Kelley , Dennis Kwon , Chris Lewis , Greg Martin , Parvathy Menon , Brian Ngo , Asli Ozyar , Mike Reilly , Jacob Scott , Ankit Shankar , Matt Sills , Spencer Stamats , Geoff Stowe , Samir Talwar , Engin Ural , Patricio Jose Velez , Holt Wilkins , Diane Wu , Drausin Wulsin , Di Wu , Yu-hsin Joyce Chen , Baris Kaya
CPC classification number: G06F17/30554 , G06F17/30572 , G06F17/30598 , G06Q10/0639
Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.
-
公开(公告)号:US09727622B2
公开(公告)日:2017-08-08
申请号:US14306154
申请日:2014-06-16
Applicant: PALANTIR TECHNOLOGIES INC.
Inventor: Feridun Arda Kara , Eli Bingham , John Garrod , Daniel Erenrich , Anirvan Mukherjee , Ted Mabrey , Andrew Ash , Zachary Bush , Allen Cai , Winnie Chai , Greg Cohan , Chris Dorsey , William Dwyer , Gilad Gray , Sean Kelley , Dennis Kwon , Chris Lewis , Greg Martin , Parvathy Menon , Brian Ngo , Asli Ozyar , Mike Reilly , Jacob Scott , Ankit Shankar , Matt Sills , Spencer Stamats , Geoff Stowe , Samir Talwar , Engin Ural , PJ Valez , Holt Wilkins , Diane Wu , Drausin Wulsin , Di Wu , Joyce Yu-Hsin Chen , Bar Kaya
CPC classification number: G06F17/30554 , G06F17/30572 , G06F17/30598 , G06Q10/0639
Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes accessing a data structure comprising a plurality of interactions associated with multiple entities. The method also includes evaluating one or more interactions of the plurality of interactions associated with a consuming entity of the multiple entities. The method further includes determining whether the one or more interactions associated with the consuming entity comprise an identified location information of the consuming entity.
-
-
-
-
-
-
-
-
-