Patents by Inventor Meghan Hildebrand Fotopoulos
Meghan Hildebrand Fotopoulos has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10943691Abstract: Implementations directed to identifying variables affecting a cost of healthcare include actions of receiving data from a plurality of data sources, the data relating to cost of providing healthcare, providing a data model based on the data, processing the data model using non-parametric analysis to provide a non-parametric result, the non-parametric result including a first and second variable, automatically processing the data model to correlate at least the first variable of the non-parametric result to the second variable of the non-parametric result to provide a correlation result, processing the correlation result using parametric analysis to provide a parametric result including at least one variable that affects the cost more than one or more other variables of a plurality of variables of the data model, and providing at least one data visualization for display, the at least one data visualization providing at least one graphical representation of the parametric result.Type: GrantFiled: January 16, 2020Date of Patent: March 9, 2021Assignee: Accenture Global Solutions LimitedInventors: Thomas D. Perry, Meghan Hildebrand Fotopoulos, Kreshnik Ahmeti, Liubao Wei, Xavier Ferragut, Santhosh George, Yinghong Fu
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Patent number: 10699808Abstract: Implementations directed to identifying variables affecting a cost of healthcare include actions of receiving data from a plurality of data sources, the data relating to cost of providing healthcare, providing a data model based on the data, processing the data model using non-parametric analysis to provide a non-parametric result, the non-parametric result including a first and second variable, automatically processing the data model to correlate at least the first variable of the non-parametric result to the second variable of the non-parametric result to provide a correlation result, processing the correlation result using parametric analysis to provide a parametric result including at least one variable that affects the cost more than one or more other variables of a plurality of variables of the data model, and providing at least one data visualization for display, the at least one data visualization providing at least one graphical representation of the parametric result.Type: GrantFiled: December 5, 2016Date of Patent: June 30, 2020Assignee: Accenture Global Solutions LimitedInventors: Thomas D. Perry, Meghan Hildebrand Fotopoulos, Kreshnik Ahmeti, Liubao Wei, Xavier Ferragut, Santhosh George, Yinghong Fu
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Publication number: 20200152321Abstract: Implementations directed to identifying variables affecting a cost of healthcare include actions of receiving data from a plurality of data sources, the data relating to cost of providing healthcare, providing a data model based on the data, processing the data model using non-parametric analysis to provide a non-parametric result, the non-parametric result including a first and second variable, automatically processing the data model to correlate at least the first variable of the non-parametric result to the second variable of the non-parametric result to provide a correlation result, processing the correlation result using parametric analysis to provide a parametric result including at least one variable that affects the cost more than one or more other variables of a plurality of variables of the data model, and providing at least one data visualization for display, the at least one data visualization providing at least one graphical representation of the parametric result.Type: ApplicationFiled: January 16, 2020Publication date: May 14, 2020Inventors: Thomas D. Perry, Meghan Hildebrand Fotopoulos, Kreshnik Ahmeti, Liubao Wei, Xavier Ferragut, Santhosh George, Yinghong Fu
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Patent number: 10489502Abstract: A document processing system receives an electronic document including component documents generated from various sources in different formats. Plain text data can be extracted from the electronic document in addition to formatting and structuring information. The plain text data is segmented into sections and various entities are extracted and linked from the sections. An interactive graphical user interface (GUI) that displays content including the plain text data is formatted according to the styling information and annotated entity relationships are determined from the linked entities. The GUI enables user edits to the annotated entity relationships.Type: GrantFiled: March 15, 2018Date of Patent: November 26, 2019Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: James R. Priestas, Tara Lynn O'Gara, Bogdan Sacaleanu, Urvesh Bhowan, Medb Corcoran, Pedro Sacristan, Jivan Virdee, Thomas Doane Perry, Theresa M. Gaffney, Meghan Hildebrand Fotopoulos
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Publication number: 20190006027Abstract: This document describes systems, methods, devices, and other techniques for automatically identifying and extracting medical conditions and supporting evidences from electronic health records. In some implementations, formatted text extracted from an unstructured electronic health record is obtained. The formatted text is segmented into multiple documents, wherein each document comprises a respective document type and represents a respective document encounter. Medical condition entities and supporting evidence entities referenced in each of the multiple documents are extracted. Extracted supporting evidence entities within a same document are linked to respective extracted medical condition entities from the same document using one or more of i) medical ontologies, or ii) a medical knowledge base. Output data representing linked supporting evidence entities and medical condition entities within a same document is provided.Type: ApplicationFiled: January 24, 2018Publication date: January 3, 2019Inventors: Bogdan E. Sacaleanu, Pedro Sacristan, Urvesh Bhowan, Medb Corcoran, Jivan Virdee, James Robert Priestas, Tara Lynn O'Gara, Thomas D. Perry, Theresa M. Gaffney, Meghan Hildebrand Fotopoulos, Laura O'Malley
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Publication number: 20190005012Abstract: A document processing system receives an electronic document including component documents generated from various sources in different formats. Plain text data can be extracted from the electronic document in addition to formatting and structuring information. The plain text data is segmented into sections and various entities are extracted and linked from the sections. An interactive graphical user interface (GUI) that displays content including the plain text data is formatted according to the styling information and annotated entity relationships are determined from the linked entities. The GUI enables user edits to the annotated entity relationships.Type: ApplicationFiled: March 15, 2018Publication date: January 3, 2019Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: James R. Priestas, Tara Lynn O'Gara, Bogdan Sacaleanu, Urvesh Bhowan, Medb Corcoran, Pedro Sacristan, Jivan Virdee, Thomas Doane Perry, Theresa M. Gaffney, Meghan Hildebrand Fotopoulos
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Publication number: 20180157797Abstract: Implementations directed to identifying variables affecting a cost of healthcare include actions of receiving data from a plurality of data sources, the data relating to cost of providing healthcare, providing a data model based on the data, processing the data model using non-parametric analysis to provide a non-parametric result, the non-parametric result including a first and second variable, automatically processing the data model to correlate at least the first variable of the non-parametric result to the second variable of the non-parametric result to provide a correlation result, processing the correlation result using parametric analysis to provide a parametric result including at least one variable that affects the cost more than one or more other variables of a plurality of variables of the data model, and providing at least one data visualization for display, the at least one data visualization providing at least one graphical representation of the parametric result.Type: ApplicationFiled: December 5, 2016Publication date: June 7, 2018Inventors: Thomas D. Perry, Meghan Hildebrand Fotopoulos, Kreshnik Ahmeti, Liubao Wei, Xavier Ferragut, Santhosh George, Yinghong Fu
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Publication number: 20160188818Abstract: The present disclosure describes techniques for performing dimensional analysis on a set of healthcare claims to identify subsets of claims that deviate from baseline metrics. One example method includes identifying a plurality of dimensions for analysis within a plurality of healthcare claims; calculating a set of baseline metrics for the plurality of healthcare claims; for each particular dimension of the plurality of dimensions: identifying dimensional subsets including healthcare claims from the plurality of healthcare claims; identifying outlier subsets from the identified dimensional subsets based on differences between the set of subset metrics for each dimensional subset and the set of baseline metrics; and providing, for output, each identified outlier subset and associated differences between the set of subset metrics for each outlier subset and the set of baseline metrics.Type: ApplicationFiled: December 31, 2014Publication date: June 30, 2016Inventors: Venkatesan Subramanian, Thomas D. Perry, Meghan Hildebrand Fotopoulos, Gautam Varadarajan, Anoop Kandanga, Lindsey J. Lizardi