Patents by Inventor Michael Ash

Michael Ash 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).

  • Patent number: 11514054
    Abstract: Supervised partitioning is used to perform record matching. A request to identify matches between records is received. A graph representation that indicates similarities between the records is partitioned and an evaluation of the partitioning is performed according to a supervised machine learning technique to generate a confidence value in the partitioning. An indication of equivalent records according to the partitioning and the confidence value of the partitioning may be provided.
    Type: Grant
    Filed: September 27, 2018
    Date of Patent: November 29, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Andrew Borthwick, Robert Anthony Barton, Jr., Stephen Michael Ash, Russell Reas
  • Publication number: 20220373363
    Abstract: An optical microcavity device (10), an alignment structure for an optical device, and a method for aligning an optical device are disclosed.
    Type: Application
    Filed: September 15, 2020
    Publication date: November 24, 2022
    Inventors: Ben James Ash, Robert Andrew Nyman, Jason Michael Smith, Aurélien André Paul Trichet
  • Patent number: 11500865
    Abstract: Multiple stage filtering may be implemented for natural language query processing pipelines. Natural language queries may be received at a natural language query processing system and processed through a query language processing pipeline. The query language processing pipeline may filter candidate linkages for a natural language query before performing further filtering of the candidate linkages in the natural language query processing pipeline as part of generating an intermediate representation used to execute the natural language query.
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: November 15, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Jun Wang, Zhiguo Wang, Sharanabasappa Parashuram Revadigar, Ramesh M Nallapati, Bing Xiang, Stephen Michael Ash, Timothy Jones, Sudipta Sengupta, Rishav Chakravarti, Patrick Ng, Jiarong Jiang, Hanbo Li, Donald Harold Rivers Weidner
  • Publication number: 20220261413
    Abstract: Specified performance attributes may be used to configure machine learning transformations for ETL jobs. Performance attributes for a machine learning pipeline that applies a model to as part of a transformation for an ETL job may be used to configure a parameter in a stage of the machine learning pipeline. The configured stage may then be used when training the model. The trained machine learning pipeline may then be applied as part of a transformation operation included in an ETL job performed by the ETL system.
    Type: Application
    Filed: March 4, 2022
    Publication date: August 18, 2022
    Applicant: Amazon Technologies, Inc.
    Inventors: Timothy Jones, Andrew Borthwick, Sergei Dobroshinsky, Shehzad Qureshi, Stephen Michael Ash, Pedrito Uriah Maynard-Zhang, Chethan Kommaranahalli Rudramuni, Abhishek Sharma, Juliana Saussy, Adam Lawrence Joseph Heinermann, Alaykumar Navinchandra Desai, Mehul A. Shah, Mehul Y. Shah, Anurag Windlass Gupta, Prajakta Datta Damle
  • Publication number: 20220222750
    Abstract: A computer program product comprising computer-readable code embodied in a non-transitory computer-readable storage medium which, when executed by one or more processors of a computing device, causes the computing device to perform a method comprising obtaining share portfolio information for one or more shareholders from a broker database, obtaining proxy voting requirements from at least one share issuer, receiving shareholder preference data from the one or more shareholders, generating proxy vote recommendations based on the share portfolio information, proxy voting requirements and the shareholder preference data, and providing the proxy vote recommendations to an interactive graphical interface of a shareholder access point using Application Programming Interface (API).
    Type: Application
    Filed: November 16, 2021
    Publication date: July 14, 2022
    Inventors: Alexander Lebow, Michael Kaufman, Patrick Vergara, Julio Fredes, Jeffrey J. Cruttenden, Austin Ash, Andy Beaudoin, Alex Ermenidis, Mary Guimbarda, Zach Hascoe, Chloe Imus, Lea Jafiarova, Zach Kauffman, Damian Mastylo, Anthony Parente, Laurent Paulhac, Joe Rosenwald, Stephen Silber, Corey Stanton, Marc Zubricky
  • Patent number: 11314730
    Abstract: Techniques for memory-efficient streaming count estimation for multisets are described. A method for memory-efficient streaming count estimation for multisets may include obtaining data from a plurality of data sources, and estimating a count for one or more attributes of the data using a telescoping count-min sketch (CMS) data structure, the telescoping CMS including at least a first table and a second table, wherein count values for the data are stored in a plurality of cells of the first table and when a cell of the first table is saturated, the count values for that cell are stored in a corresponding cell of the second table determined based at least on the cell of the first table.
    Type: Grant
    Filed: March 24, 2020
    Date of Patent: April 26, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Andrew Borthwick, Stephen Michael Ash
  • Patent number: 11269911
    Abstract: Specified performance attributes may be used to configure machine learning transformations for ETL jobs. Performance attributes for a machine learning pipeline that applies a model to as part of a transformation for an ETL job may be used to configure a parameter in a stage of the machine learning pipeline. The configured stage may then be used when training the model. The trained machine learning pipeline may then be applied as part of a transformation operation included in an ETL job performed by the ETL system.
    Type: Grant
    Filed: November 23, 2018
    Date of Patent: March 8, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Timothy Jones, Andrew Borthwick, Sergei Dobroshinsky, Shehzad Qureshi, Stephen Michael Ash, Pedrito Uriah Maynard-Zhang, Chethan Kommaranahalli Rudramuni, Abhishek Sharma, Juliana Saussy, Adam Lawrence Joseph Heinermann, Alaykumar Navinchandra Desai, Mehul A. Shah, Mehul Y. Shah, Anurag Windlass Gupta, Prajakta Datta Damle
  • Publication number: 20210334752
    Abstract: Computerized methods for modifying at least one component of a clinical order are provided. The methods may include receiving a clinical order, the clinical order having a first component associated with a first phase and a second component associated with a second phase, wherein the first and second components have a first attribute in common, receiving an indication to modify the first attribute of the first component, and modifying the first attribute of the first component and the second component based on the indication received. The methods may further include associating the first and second components of the clinical order to form a cross-phase group and displaying the first and second components in association with an electronic record, e.g., an electronic medical record, in conjunction with a cross-phase group identifier to identify the components as members of the cross-phase group. Computerized systems for performing the disclosed methods are also provided.
    Type: Application
    Filed: July 2, 2021
    Publication date: October 28, 2021
    Inventors: Michael A. Ash, John Q. DeVerter
  • Patent number: 11120064
    Abstract: A data records service is configured to receive original data records and, in parallel, generate a transliterated version of the original data record into a phonetic based language. Individual fields of data records can be transliterated by identifying a primary language, generating language specific tokens for individual text portions, and transliterating the token. The records processing service can then execute matching models on both original data records and transliterated data records to detect matching data records.
    Type: Grant
    Filed: November 20, 2018
    Date of Patent: September 14, 2021
    Assignee: Amazon Technologies, Inc.
    Inventor: Stephen Michael Ash
  • Patent number: 11113254
    Abstract: Techniques for scaling record linkage via elimination of highly overlapped blocks are described. A method for scaling record linkage via elimination of highly overlapped blocks includes identifying a first plurality of blocks based at least on a plurality of records stored in a storage service of a provider network, identifying a plurality of sets of matching blocks from the first plurality of blocks, deleting the plurality of sets of matching blocks except for a first block from each set from the plurality of sets of matching blocks, and iteratively performing dynamic blocking based at least on the first block to generate subsequent pluralities of blocks until the subsequent pluralities of blocks are below a threshold size.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: September 7, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Andrew Borthwick, Stephen Michael Ash
  • Patent number: 11086940
    Abstract: Techniques for Scalable parallel elimination of approximately subsumed sets are described. A method for Scalable parallel elimination of approximately subsumed sets includes identifying a first plurality of blocks based at least on a plurality of records stored in a storage service of a provider network, determining a plurality of subsumption relationships between blocks from the first plurality of blocks, retaining a first subset of the first plurality of blocks and demoting a second subset of the first plurality of blocks based at least on the plurality of subsumption relationships, and iteratively performing dynamic blocking based at least on the first subset of the plurality of matching blocks and the second subset of the plurality of matching blocks to generate a subsequent pluralities of blocks.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: August 10, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Andrew Borthwick, Stephen Michael Ash
  • Patent number: 11055664
    Abstract: Computerized methods for modifying at least one component of a clinical order are provided. The methods may include receiving a clinical order, the clinical order having a first component associated with a first phase and a second component associated with a second phase, wherein the first and second components have a first attribute in common, receiving an indication to modify the first attribute of the first component, and modifying the first attribute of the first component and the second component based on the indication received. The methods may further include associating the first and second components of the clinical order to form a cross-phase group and displaying the first and second components in association with an electronic record, e.g., an electronic medical record, in conjunction with a cross-phase group identifier to identify the components as members of the cross-phase group. Computerized systems for performing the disclosed methods are also provided.
    Type: Grant
    Filed: February 22, 2006
    Date of Patent: July 6, 2021
    Assignee: Cerner Innovation, Inc.
    Inventors: Michael A. Ash, John Q. DeVerter
  • Patent number: 10915222
    Abstract: Methods, systems, and computer-storage media are provided for facilitating the care of a patient by a multi-disciplinary care team. A graphical user interface presents one or more clinical problems associated with a patient. For each clinical problem, actionable care team icons are presented that, among other things, identify care teams responsible for caring for the clinical problem and any actions taken by the care teams to address the clinical problem.
    Type: Grant
    Filed: August 12, 2013
    Date of Patent: February 9, 2021
    Assignee: CERNER INNOVATION, INC.
    Inventors: Michael A. Ash, Heather Owen, J D Tyler, Daniel Stocksick, Pramod Pagadala
  • Patent number: 10860171
    Abstract: Methods, systems, and computer-storage media are provided for enabling a user to dynamically create associations and take actions with respect to a clinical finding associated with a patient. After selecting a clinical finding that is of interest in a first workflow application, a graphical user interface is automatically presented. The graphical user interface includes trending information for the clinical finding as well as information related to the clinical finding. The graphical user interface enables a clinician to associate the clinical finding with a current patient problem or a possible diagnosis related to the clinical finding. Additionally, the graphical user interface enables the clinician to take actions with respect to the clinical finding.
    Type: Grant
    Filed: August 12, 2013
    Date of Patent: December 8, 2020
    Inventors: Michael A. Ash, Brian J. Lancaster, Heather Owen, J D Tyler, David Cohen, Thomas C. Gifford
  • Publication number: 20200159857
    Abstract: A data records service is configured to receive original data records and, in parallel, generate a transliterated version of the original data record into a phonetic based language. Individual fields of data records can be transliterated by identifying a primary language, generating language specific tokens for individual text portions, and transliterating the token. The records processing service can then execute matching models on both original data records and transliterated data records to detect matching data records.
    Type: Application
    Filed: November 20, 2018
    Publication date: May 21, 2020
    Inventor: Stephen Michael Ash
  • Patent number: 10269455
    Abstract: Methods, systems, and computer-readable media are provided for determining and generating content items that provide patient information and content provided by, for example, a third-party content provider that is relevant to information associated with an open healthcare application. The content items are displayed in a separate display space from the healthcare application's user interface and dynamically change and update in response to changes in the information being displayed on the healthcare application's user interface. Additionally, the content items are actionable thereby enabling healthcare providers to address alerts, take actions, view supporting documentation, and the like.
    Type: Grant
    Filed: September 19, 2016
    Date of Patent: April 23, 2019
    Assignee: Cerner Innovation, Inc.
    Inventors: Michael A. Ash, Will Van Norel, Thomas C. Gifford, Meagan Jacoby
  • Patent number: 10067627
    Abstract: Methods, computer systems, and computer-readable storage media are provided for utilizing health-related variables to generate a current health state of a user along with a most-likely future health state of the user and an ideal future health state of the user. Graphical representations of these health states are generated and presented on a graphical user interface. The user is able to interact with the graphical representations to see the impact of the user's choices on the user's future health.
    Type: Grant
    Filed: July 10, 2015
    Date of Patent: September 4, 2018
    Assignee: Cerner Innovation, Inc.
    Inventors: Michael A. Ash, Todd Jeffrey Reynolds, Harlen Hays
  • Patent number: 10007407
    Abstract: Methods, systems, and computer-readable media are provided to detect incremental changes in clinical documents associated with a patient. A user selection is received indicating that a user wants to compare two or more clinical documents that are associated with the patient or authored by the same clinician, enabling the user to become up-to-date on the patient's care. A first clinical document and a second clinical document are identified. For the first clinical document and the second clinical document, differences are algorithmically determined. The first clinical document is transformed into a new representation of the first clinical document. Further, the second clinical document is transformed into a new representation of the second clinical document. One or more of the new representations of the first and the second clinical documents are displayed, assisting the user to quickly find and understand the differences between the documents.
    Type: Grant
    Filed: December 31, 2014
    Date of Patent: June 26, 2018
    Assignee: Cerner Innovation, Inc.
    Inventors: Thomas C. Gifford, Chad A. Cole, J D Tyler, Savitha Venkat, Michael A. Ash, Tonja McCord, Anubha Garg, Steven S. Crooks, Christopher S. Finn, Margaret C. Kolm, David J. O'Larte, David P. McCallie, Jr.
  • Patent number: 9817946
    Abstract: Methods, computer systems, and computer-readable storage media for generating graphical representations of health-related variables are provided. The graphical representations include a first body-image representation of a user at a current period of time. The graphical representations also include a second body-image representation that represents the user at a future period of time, the user in a simulated clinical “what-if” scenario, or members of the population-at-large that share similar demographic traits with the user.
    Type: Grant
    Filed: December 16, 2011
    Date of Patent: November 14, 2017
    Assignee: Cerner Innovation, Inc.
    Inventors: Michael A Ash, Todd Jeffrey Reynolds, Harlen Hays
  • Patent number: 9740825
    Abstract: Methods, systems, and computer-readable media are provided for determining and generating variably-sized display areas for presenting content items. The display areas include a notification bar that present icons representative of content items, a content item display area that displays content items, and a results display area that presents more detailed information concerning a particular content item.
    Type: Grant
    Filed: July 17, 2014
    Date of Patent: August 22, 2017
    Assignee: Cerner Innovation, Inc.
    Inventors: Casey J. Sansale, Thomas C. Gifford, Michael A. Ash